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Coding Blocks - Data Science Master Course [Courses Ghar]
magnet:?xt=urn:btih:fdb079c0bfed7998552b9236a6d03354c1a88d16&dn=Coding Blocks - Data Science Master Course [Courses Ghar]
磁力链接详情
Hash值:
fdb079c0bfed7998552b9236a6d03354c1a88d16
点击数:
160
文件大小:
20.46 GB
文件数量:
397
创建日期:
2022-6-7 23:20
最后访问:
2024-6-9 20:37
访问标签:
Coding
Blocks
-
Data
Science
Master
Course
Courses
Ghar
文件列表详情
1. Course Introduction/1.Data Science Course Introduction.mp4 128.4 MB
10. Asynchronous Programming in Python (Optional)/1. Async Programming Python - 1.mp4 73.28 MB
10. Asynchronous Programming in Python (Optional)/2. Async Programming Python - 2.mp4 57.87 MB
10. Asynchronous Programming in Python (Optional)/3. Async Programming Python - 3.mp4 73.64 MB
10. Asynchronous Programming in Python (Optional)/4. Python - Coroutines in Python.mp4 43.75 MB
10. Asynchronous Programming in Python (Optional)/5. Python - AsyncIO 1.mp4 131.5 MB
10. Asynchronous Programming in Python (Optional)/6. Python - AsyncIO 2.mp4 88.54 MB
11. Basics of Git & Github/1.Introduction_to_Git_and_Github.mp4 106.24 MB
11. Basics of Git & Github/2.Making_a_Repository_on_Github.mp4 73.74 MB
11. Basics of Git & Github/3.Cloning_a_Repository_from_Github.mp4 40.63 MB
12. Data Acquisition - Web Scrapping/1.Web_Scraping_01-Fetching_Data.mp4 68.8 MB
12. Data Acquisition - Web Scrapping/2.Web_Scraping_02-Using_Beautiful_Soup.mp4 70.28 MB
12. Data Acquisition - Web Scrapping/3.Web_Scraping_03-Parsing_HTML_Tables.mp4 50.29 MB
12. Data Acquisition - Web Scrapping/4.Web_Scraping_04-Creating_CSV.mp4 16.85 MB
12. Data Acquisition - Web Scrapping/5.Web_Scraping_05-Cleaning_Data.mp4 58.39 MB
12. Data Acquisition - Web Scrapping/6.Web_Scraping_06-Scraping_Loca_Files.mp4 9.17 MB
13. Data Acquisition - Using Web APIs/1.Web_APIs_01-OpenWeatherMap.mp4 47.97 MB
13. Data Acquisition - Using Web APIs/2.Web_API's_03-Goolge_API-Authentication.mp4 36.9 MB
13. Data Acquisition - Using Web APIs/3.Web_API's_2-Using_Facebook_API.mp4 49.42 MB
13. Data Acquisition - Using Web APIs/4.Web_Scraping-Image_Scrapping-1.mp4 18.12 MB
13. Data Acquisition - Using Web APIs/5.Web Scraping - Scraping Images II.mp4 16.03 MB
15. Data Acquisition - Web Crawler using Scrapy/1.Scrapy-Getting_Started.mp4 23.71 MB
15. Data Acquisition - Web Crawler using Scrapy/3.Scrapy-Creating_our_first_Spider.mp4 31.37 MB
15. Data Acquisition - Web Crawler using Scrapy/4.Scrapy-Using_Shell__Selectors.mp4 109.96 MB
15. Data Acquisition - Web Crawler using Scrapy/5.Scrapy-Parsing_response_as_JSON.mp4 39.55 MB
15. Data Acquisition - Web Crawler using Scrapy/6.Scrapy-Recursive_Crawler.mp4 96.23 MB
16. 🚀 Challenge - Scrape a Shopping Website/2. Scrape Pepperfry Challenge.mp4 8.49 MB
16. 🚀 Challenge - Scrape a Shopping Website/3. Scrape Pepperfry Hint Video.mp4 58.58 MB
17. Project - Automating Codechef Submissions (Selenium)/1.Web Automation with Selenium.mp4 44.63 MB
18. Project - Creating a Telegram Bot/1. Registering a Telegram Bot.mp4 9.56 MB
18. Project - Creating a Telegram Bot/2. Creating an Echo Bot.mp4 52.67 MB
18. Project - Creating a Telegram Bot/3. Setting Up Webhook for Telegram Bot.mp4 38.53 MB
18. Project - Creating a Telegram Bot/4. Introduction to Dialogflow.mp4 36.95 MB
18. Project - Creating a Telegram Bot/5. Making a Conversational Bot.mp4 45.81 MB
18. Project - Creating a Telegram Bot/6. Setting up Custom Keyboard for Telegram Bot.mp4 20 MB
18. Project - Creating a Telegram Bot/7. Deploying Flask App for Telegram Bot on Heroku.mp4 30.24 MB
19. Getting started with Machine Learning/1. Machine Learning Pipeline.mp4 46.8 MB
19. Getting started with Machine Learning/2. Supervised Learning Introduction.mp4 36.6 MB
19. Getting started with Machine Learning/3. Unsupervised Learning Introduction.mp4 20.14 MB
19. Getting started with Machine Learning/4. RL1 - Reinforcement Learning Introduction.mp4 46.15 MB
2 .Data Science Quickstart Mode/2. Quickstart Python.mp4 45.84 MB
2 .Data Science Quickstart Mode/3. Quickstart Numpy.mp4 20.85 MB
2 .Data Science Quickstart Mode/4. Quickstart - Data Visualization.mp4 15.06 MB
2 .Data Science Quickstart Mode/5. Quickstart - OpenCV.mp4 28.72 MB
2 .Data Science Quickstart Mode/6. Quickstart - Pandas.mp4 65.44 MB
20. Numpy/1.Python - NumPy Basics.mp4 95.47 MB
20. Numpy/2.Python - Random Generators NumPy.mp4 32.91 MB
20. Numpy/3.Python - Statistical Computation using.mp4 53.83 MB
21. Linear Algebra/2.Linear Algebra - Matrices, Tensors, Transpose.mp4 49.19 MB
21. Linear Algebra/3.Linear Algebra - Broadcasting, Matrix, Hadamard product.mp4 22.81 MB
21. Linear Algebra/4.Linear Algebra - Norm, Det, Inverse, Linear Equations.mp4 44.65 MB
22. Data Visualisation/DV 01 - Line Plots.mp4 27.16 MB
22. Data Visualisation/DV 02 - Scatter Plots.mp4 12.38 MB
22. Data Visualisation/DV 03 - Bar Graphs.mp4 22.72 MB
22. Data Visualisation/DV 04 - Pie Charts.mp4 18.67 MB
22. Data Visualisation/DV 05 - Normal Distribution.mp4 28.1 MB
22. Data Visualisation/DV 06 - Histograms.mp4 12.04 MB
22. Data Visualisation/DV 07 - Movie Data Visualization.mp4 32.66 MB
23. Seaborn/Seaborn 1.mp4 28.8 MB
23. Seaborn/Seaborn 2.mp4 22.33 MB
23. Seaborn/Seaborn 3.mp4 23.8 MB
24. Pandas/1.Pandas Basics - 1.mp4 28.91 MB
24. Pandas/2.Pandas Basics - 2.mp4 52.34 MB
24. Pandas/3.Pandas - MNIST Dataset.mp4 47.88 MB
24. Pandas/4.Pandas - Movie Dataset.mp4 22.54 MB
25. Project - Movie Recommendation System/Movie Recommendation - 1.mp4 12.57 MB
25. Project - Movie Recommendation System/Movie Recommendation - 2.mp4 21.5 MB
25. Project - Movie Recommendation System/Movie Recommendation - 3.mp4 27.52 MB
25. Project - Movie Recommendation System/Movie Recommendation - 4.mp4 45.37 MB
26. Probability Distribution & Statistics/1.Data Visualisation - Normal Distribution and Histogram.mp4 87.47 MB
26. Probability Distribution & Statistics/2.Data Visualisation - Normal Distribution - II.mp4 43.23 MB
26. Probability Distribution & Statistics/3.Multivariate NormalGaussian Distribution Function.mp4 81.62 MB
26. Probability Distribution & Statistics/4.Data Visualisation - Multivariate NormalGaussian Distribution Using Numpy.mp4 61.72 MB
26. Probability Distribution & Statistics/5.ML Interview Question - Std Deviation in a Running Stream.mp4 41.8 MB
27. K-Nearest Neighbours/1.K-Nearest Neigbours Introduction.mp4 10.59 MB
27. K-Nearest Neighbours/2.K-Nearest Neighbours Implementation.mp4 66.29 MB
27. K-Nearest Neighbours/3.Project Recognizing MNIST Handwritten Digits using KNN.mp4 67.44 MB
29. Project - Face Recognition/2.OpenCV - Working with Images I.mp4 26.61 MB
29. Project - Face Recognition/3.OpenCV - Working with Images - II.mp4 26.09 MB
29. Project - Face Recognition/4.OpenCV - Face Detection using HaarCascades.mp4 92.96 MB
29. Project - Face Recognition/5.OpenCV - Working with Video Stream from WebCam.mp4 38.49 MB
29. Project - Face Recognition/6.Face Recognition Project - Generating Selfie Training Data using WebCam.mp4 150.37 MB
29. Project - Face Recognition/7.Face Recognition - Building Face Classsifier.mp4 155.92 MB
29. Project - Face Recognition/8.Face Recognition - Testing our Classifier.mp4 28.69 MB
3. Python 01 - Basics/1. Python 3 Installation [Windows].mp4 15.76 MB
3. Python 01 - Basics/10. Control Flow II.mp4 14.9 MB
3. Python 01 - Basics/11. Operator and Expression I.mp4 20.33 MB
3. Python 01 - Basics/12. Operator and Expression II.mp4 28.37 MB
3. Python 01 - Basics/13. Operator and Expression III.mp4 36.08 MB
3. Python 01 - Basics/2. Getting Started I.mp4 16.26 MB
3. Python 01 - Basics/3. Getting Started II.mp4 11.68 MB
3. Python 01 - Basics/4. Working with Jupyter Notebooks.mp4 28.8 MB
3. Python 01 - Basics/5. Set up Jupyter-Themes.mp4 11.99 MB
3. Python 01 - Basics/6. Python Basics..mp4 19.23 MB
3. Python 01 - Basics/7. Python - Variables And Arithmetic Operators.mp4 40.76 MB
3. Python 01 - Basics/9. Control Flow I.mp4 27.37 MB
31. Linear Regression/1.Linear Regression.mp4 32.09 MB
31. Linear Regression/10.Linear Regression - Visualising Loss Function & Gradient Descent Trajectory.mp4 34.23 MB
31. Linear Regression/11.Interactive Plots using Matplotlib.mp4 12.61 MB
31. Linear Regression/2.Gradient Descent Implementation.mp4 17.2 MB
31. Linear Regression/3.Gradient Descent Algorithm.mp4 15.95 MB
31. Linear Regression/4.Gradient Descent Update Rule for Regression.mp4 14.37 MB
31. Linear Regression/5.Linear Regression - Data Preparation.mp4 10.32 MB
31. Linear Regression/6.Linear Regression - Implementing Gradient Descent.mp4 18.32 MB
31. Linear Regression/7.Linear Regression - Making Predictions & Submitting Online Challenge.mp4 11.98 MB
31. Linear Regression/8.Linear Regression Code - Scoring.mp4 7.42 MB
31. Linear Regression/9.Surface Plots and Contours.mp4 26.52 MB
33. Linear Regression - II Multiple Features/1.Linear Regression - Maths for Multiple Features.mp4 29.7 MB
33. Linear Regression - II Multiple Features/2.Boston Housing Dataset.mp4 19.39 MB
33. Linear Regression - II Multiple Features/3.Linear Regression - Loop Based Implementation for Multiple Features.mp4 22.79 MB
33. Linear Regression - II Multiple Features/4.Linear Regression - Efficient Code using Vectorization.mp4 22.91 MB
34. Sci-kit Learn Introduction/Sklearn 01 - Generating Regression Data.mp4 17.33 MB
34. Sci-kit Learn Introduction/Sklearn 02 - Implementation Regression Model.mp4 6.62 MB
35 .Optimisation Algorithms/01 GD vs Mini Batch vs SGD.mp4 15.63 MB
35 .Optimisation Algorithms/02 Mini Batch GD.mp4 14.44 MB
35 .Optimisation Algorithms/03 Mini Batch GD Implementation & Advantanges.mp4 46.12 MB
36 .Locally Weighted Regression (LOWESS)/1.Closed Form Solution of Linear Regression.mp4 54.06 MB
36 .Locally Weighted Regression (LOWESS)/2.Closed Form Solution - Code Tutorial.mp4 29.82 MB
36 .Locally Weighted Regression (LOWESS)/4.Locally Weighted Regression (LOWESS).mp4 57.67 MB
36 .Locally Weighted Regression (LOWESS)/5.LOWESS - Deriving Closed Form Solution.mp4 52.6 MB
36 .Locally Weighted Regression (LOWESS)/6.LOWESS Implementation 1 - Data Preparation.mp4 51.9 MB
36 .Locally Weighted Regression (LOWESS)/7.LOWESS Implementation 2 - Computing W.mp4 52.76 MB
36 .Locally Weighted Regression (LOWESS)/8.LOWESS Implementation 3 - Making Predictions.mp4 44.06 MB
36 .Locally Weighted Regression (LOWESS)/9.LOWESS Implementation 4 - Effect of Bandwidth Parameter.mp4 29 MB
37. Maximum Likelihood Estimate (MLE) [Proof]/1.Linear Regression - Maximum Likelihood Estimation - I (Optional).mp4 46.32 MB
37. Maximum Likelihood Estimate (MLE) [Proof]/2.Linear Regression - Maximum Likelihood Estimation - II (Optional).mp4 32.71 MB
39. Logistic Regression/1.Logistic 01 - Introduction.mp4 25.15 MB
39. Logistic Regression/10.Logistic 10 - Decision Surface Visualisation.mp4 8.8 MB
39. Logistic Regression/11.Logistic 11 - Prediction & Accuracy.mp4 13.2 MB
39. Logistic Regression/12.Logistic Regression Using Sk-Learn.mp4 9.06 MB
39. Logistic Regression/2.Logistic 02 - Loss Function.mp4 19.04 MB
39. Logistic Regression/3.Logistic 03 - Maximum Likelihood Estimates.mp4 20.52 MB
39. Logistic Regression/4.Logistic 04 - Importance of Maximising Likelihood.mp4 10.71 MB
39. Logistic Regression/5.Logistic 05 - Gradient Descent Update.mp4 15.71 MB
39. Logistic Regression/6.Logistic 06 - Data Preparation.mp4 24.17 MB
39. Logistic Regression/7.Logistic 07 - Data Normalisation.mp4 14.91 MB
39. Logistic Regression/8.Logistic 08 - Implementation - I.mp4 19.21 MB
39. Logistic Regression/9.Logistic 09 - Implementation - II.mp4 28.43 MB
4. Python 02 - Functions/1. Introduction to Functions.mp4 10.67 MB
4. Python 02 - Functions/2. Python Functions - Return, Local, Global.mp4 16.96 MB
4. Python 02 - Functions/3. Python Functions - packing arguments.mp4 18.49 MB
4. Python 02 - Functions/4. Python Functions - Lambda Functions.mp4 8.24 MB
4. Python 02 - Functions/5. Python Functions - Decorators.mp4 17.73 MB
4. Python 02 - Functions/6. Python Functions - -args and --kwargs.mp4 16.82 MB
41. Data Prepreprocessing/1.Data Preprocessing - Normalisation - Standardisation.mp4 31.92 MB
42. Feature Selection/1.Feature Selection Intro.mp4 14.08 MB
42. Feature Selection/2.Types of Feature Selection.mp4 27.38 MB
42. Feature Selection/3.Feature Selection Code - I.mp4 22.22 MB
42. Feature Selection/4.Feature Selection Code - II.mp4 31.65 MB
42. Feature Selection/5.Feature Selection Conclusion.mp4 12.51 MB
43 .PCA/1.Intro to PCA.mp4 6.24 MB
43 .PCA/2.Applications of PCA.mp4 27.32 MB
43 .PCA/3.PCA Objective.mp4 15.22 MB
43 .PCA/4.PCA Algorithm.mp4 38.91 MB
43 .PCA/5.PCA Code 1.mp4 26.01 MB
43 .PCA/6.PCA Code 2.mp4 33.2 MB
44. Natural Language Pre-preprocessing/1.Natural Language Processing - Getting started with NLTK.mp4 25.16 MB
44. Natural Language Pre-preprocessing/2.NLTK - Bag of Words Pipeline.mp4 15.54 MB
44. Natural Language Pre-preprocessing/3.NLTK - Tokenization & Stopword Removal.mp4 18.96 MB
44. Natural Language Pre-preprocessing/4.NLTK - Regex Based Tokenization.mp4 10.19 MB
44. Natural Language Pre-preprocessing/5.NLTK - Stemming & Lemmatization.mp4 9.65 MB
44. Natural Language Pre-preprocessing/6.Bag of Words - Constructing Vocab.mp4 21.01 MB
44. Natural Language Pre-preprocessing/7.Bag of Words - Vectorization with Stopword Removal.mp4 13.18 MB
44. Natural Language Pre-preprocessing/8.Bag of Words Model - Bigrams, Trigrams, Ngrams.mp4 11.04 MB
44. Natural Language Pre-preprocessing/9.Bag of Words - TF-IDF Normalisation.mp4 17.69 MB
45 .Naive Bayes Classifier/1.Bayes Theorem Formula and Proof.mp4 21.32 MB
45 .Naive Bayes Classifier/10.Naive Bayes for Text Classification.mp4 21.51 MB
45 .Naive Bayes Classifier/11.Laplace Smoothing (Multinomial NB).mp4 24.53 MB
45 .Naive Bayes Classifier/12.Multivariate Bernoulli Naive Bayes.mp4 29.77 MB
45 .Naive Bayes Classifier/13.Multinomial Event Model Naive Bayes.mp4 10.22 MB
45 .Naive Bayes Classifier/15.Multivariate Bernoulli vs Multinomial Naive Bayes.mp4 49.07 MB
45 .Naive Bayes Classifier/16.Gaussian Naive Bayes - Handling Continuous Valued Features.mp4 63.27 MB
45 .Naive Bayes Classifier/17.MNIST Classification - Multinomial Vs Gaussian Naive Bayes.mp4 28.19 MB
45 .Naive Bayes Classifier/2.Bayes Example - Spam or Not.mp4 26.45 MB
45 .Naive Bayes Classifier/4.Bayes Examples Disease or not.mp4 48.12 MB
45 .Naive Bayes Classifier/5.Naive Bayes Classifier.mp4 37.93 MB
45 .Naive Bayes Classifier/6.Naive Bayes - Mushroom Classification Example.mp4 31.82 MB
45 .Naive Bayes Classifier/7.Mushroom Classifer - Handling Categorical Data.mp4 64.51 MB
45 .Naive Bayes Classifier/8.Mushroom Classifier - Prior and Conditional Probability.mp4 43.91 MB
45 .Naive Bayes Classifier/9.Mushroom Classification - Prediction using Posterior Prob.mp4 51.18 MB
46 .Project - Movie Review Classification/2.Textual Data Cleaning I - NLP Pipeline.mp4 59.93 MB
46 .Project - Movie Review Classification/3.Textual Data Cleaning II - Working with Files.mp4 55.11 MB
46 .Project - Movie Review Classification/4.Movie Review Prediction - Using Multinomial Naive Bayes.mp4 107.29 MB
46 .Project - Movie Review Classification/5.Movie Review Prediction - Using Multivariate Bernaulli Event Model.mp4 68.19 MB
46 .Project - Movie Review Classification/6.Precision, Recall and Confusion Matrix.mp4 34.69 MB
46 .Project - Movie Review Classification/7.Confusion Matrix.mp4 80.96 MB
48 .Decision Trees & Random Forests/1.DT 1 - Introduction to Decision Trees.mp4 37.35 MB
48 .Decision Trees & Random Forests/2.DT 2 - Entropy & Information Gain.mp4 65.84 MB
48 .Decision Trees & Random Forests/3.DT 3 - Process Kaggle Titanic Dataset.mp4 76.03 MB
48 .Decision Trees & Random Forests/4.DT 4 - Implementing Information Gain.mp4 68.28 MB
48 .Decision Trees & Random Forests/5.DT 5 - Implementing Decision Tree.mp4 69.36 MB
48 .Decision Trees & Random Forests/6.DT 6 - Making Predictions.mp4 48.82 MB
48 .Decision Trees & Random Forests/7.Decision Trees using Sci-kit Learn.mp4 39.25 MB
48 .Decision Trees & Random Forests/8.Decision Trees Visualisation using Graphviz.mp4 50.33 MB
48 .Decision Trees & Random Forests/9.DT - Random Forests Ensembles.mkv 59.5 MB
5. Python 03 - Builtin Data Structures/1. Python - Introduction to Data Structures.mp4 66.75 MB
5. Python 03 - Builtin Data Structures/2. Python - Introduction to Strings.mp4 53.98 MB
5. Python 03 - Builtin Data Structures/3. Python - String Operations.mp4 106.99 MB
5. Python 03 - Builtin Data Structures/4. Python - Introduction to Lists.mp4 132.4 MB
5. Python 03 - Builtin Data Structures/5. Python - Introduction to Tuples.mp4 86.85 MB
5. Python 03 - Builtin Data Structures/7. Python - Introduction to Dictionaries.mp4 75.32 MB
5. Python 03 - Builtin Data Structures/8. Python - Introduction to Sets.mp4 42.71 MB
5. Python 03 - Builtin Data Structures/9. Comprehension of Data Structure in Python.mp4 33.05 MB
50. Support Vector Machines/1.SVM - Introduction.mp4 77.49 MB
50. Support Vector Machines/10.Handling Non-Linearly Separable Data.mp4 233.33 MB
50. Support Vector Machines/11.SVM - 'Kernel Trick' Based Formulation.mp4 106.7 MB
50. Support Vector Machines/12.SVM - Different type of Kernels.mp4 111.15 MB
50. Support Vector Machines/13.Grid Search - Finding the Right Hyperparameters.mp4 87.58 MB
50. Support Vector Machines/2.SVM - Formulating Objective.mp4 35.19 MB
50. Support Vector Machines/3.SVM - Objective as Constrained Convex Optmization.mp4 102.85 MB
50. Support Vector Machines/4.SVM - Handling Outliers.mp4 36.06 MB
50. Support Vector Machines/5.VM - Pegasos Algorithm for Unconstrained Optimization.mp4 85.91 MB
50. Support Vector Machines/6.SVM - Weight and Bias Update Rule.mp4 18.62 MB
50. Support Vector Machines/7.SVM Implementation 1 - Hinge Loss Function.mp4 64.19 MB
50. Support Vector Machines/8.SVM Implementation 2 - Training using Mini-Batch Gradient Descent.mp4 122.52 MB
50. Support Vector Machines/9.SVM - Visualizing Hyperplanes, Effect of Penalty Constant.mp4 47.08 MB
51. Project - Image Classification using SVM/1.Multiclass Classification - One Vs Rest and One Vs One.mp4 51.75 MB
51. Project - Image Classification using SVM/2.Data Preparation-I Reading & Processing Images.mp4 141.54 MB
51. Project - Image Classification using SVM/3.Data Preparation - II Creating One Vs One Data.mp4 76.57 MB
51. Project - Image Classification using SVM/4.Implementing One Vs One Scheme.mp4 40.11 MB
51. Project - Image Classification using SVM/5.Handling Multiclass Predictions using Binary Classifier.mp4 30.99 MB
51. Project - Image Classification using SVM/6.Improving Classification Accuracy.mp4 63.05 MB
53.Clustering Fundamentals (Unsupervised)/1.Introduction to K-Means.mp4 62.66 MB
53.Clustering Fundamentals (Unsupervised)/2.K-Means - Implementing E Step.mp4 54.67 MB
53.Clustering Fundamentals (Unsupervised)/3.K-Means - Implementing M-Step.mp4 80.33 MB
53.Clustering Fundamentals (Unsupervised)/4.K-Means - Understanding Loss, Coordinate Ascent.mp4 92.62 MB
53.Clustering Fundamentals (Unsupervised)/5.K-Means ++ Making Better Initialisation.mp4 65.93 MB
53.Clustering Fundamentals (Unsupervised)/6.K-Means can still Fail!.mp4 17.62 MB
53.Clustering Fundamentals (Unsupervised)/7.K-Means vs DBSCAN.mp4 60.87 MB
54. Project - Extracting Dominant Colors/1.K-Means - Dominant Color Extraction.mp4 64.41 MB
54. Project - Extracting Dominant Colors/2.K-Means - Extracting Color Swatches.mp4 51.19 MB
54. Project - Extracting Dominant Colors/3.K-Means - Image Segmentation.mp4 42.19 MB
56. Deep Learning Introduction/1. Perceptron 01 - Artificial vs Biological Neurons.mkv 26.13 MB
56. Deep Learning Introduction/2. Perceptron 02 - How does an artificial neuron learn.mkv 74.41 MB
56. Deep Learning Introduction/3.Perceptron_03-Gradient_Descent_Update.mp4 120.77 MB
56. Deep Learning Introduction/4.Perceptron_04-Implementation_Part-I.mp4 152.63 MB
56. Deep Learning Introduction/5.Perceptron_05-Visualising_Decision_Surcace.mp4 121.61 MB
56. Deep Learning Introduction/6.Neural Network 01 - Introduction.mp4 109.62 MB
56. Deep Learning Introduction/7.Neural Networks 02 - Gradient Descent.mp4 100.15 MB
56. Deep Learning Introduction/8.Neural Networks 03 - Backpropagation.mp4 111.81 MB
56. Deep Learning Introduction/9.Neural Networks 04 - Backprop Calculus.mp4 25.55 MB
57. Neural Networks - MLP's/1.MLP 01 - Multiplayer Perception Architecture.mp4 142.87 MB
57. Neural Networks - MLP's/10.NN - Implementation Backpropagtion.mp4 52.87 MB
57. Neural Networks - MLP's/11.NN - One Hot Vectors.mp4 61.6 MB
57. Neural Networks - MLP's/12.NN - Training Your Model.mp4 41.45 MB
57. Neural Networks - MLP's/13.NN - Finding Accuracy and Visualising Decison Surface.mp4 29.92 MB
57. Neural Networks - MLP's/14.NN - XOR Classification.mp4 45.27 MB
57. Neural Networks - MLP's/15.NN - Comparing performance on other datasets.mp4 48.08 MB
57. Neural Networks - MLP's/2.MLP 02 - Implementing a 3 Layer Architecture.mp4 69.85 MB
57. Neural Networks - MLP's/3.MLP 03 - Understanding Forward Propagation.mp4 135.78 MB
57. Neural Networks - MLP's/4.MLP 04 - Vectorization, Implementation and Softmax.mp4 261.15 MB
57. Neural Networks - MLP's/5.MLP 05 - Backpropagation for Output Neurons.mp4 117.63 MB
57. Neural Networks - MLP's/6.MLP 06 - Backpropagation for Hidden Neurons.mp4 86.93 MB
57. Neural Networks - MLP's/7.MLP 07 - Backpropagation for Cross Entropy Loss.mp4 158.82 MB
57. Neural Networks - MLP's/8.MLP 08 - Vectorizing Backpropagation for m examples.mp4 105.01 MB
57. Neural Networks - MLP's/9.NN - Vanishing Gradients.mp4 90.76 MB
58. Project - Image Classsification using Neural Network/1-NN - Pokemon Dataset Preparation.mp4 53.08 MB
58. Project - Image Classsification using Neural Network/2-NN - Pokemon Classfication & Overfitting .mp4 79.98 MB
58. Project - Image Classsification using Neural Network/3-NN - Pokemon Classification Report & Confusion Matrix.mp4 60.33 MB
59. Project - IMDB Sentiment Analysis/Sentiment Analysis 1 - Preparing IMDB Data.mp4 50.46 MB
59. Project - IMDB Sentiment Analysis/Sentiment Analysis 2 - Buidling & Compiling Neural Network.mp4 25.43 MB
59. Project - IMDB Sentiment Analysis/Sentiment Analysis 3 - Evaluation & Early Stopping.mp4 113.15 MB
6. Python 04 - Object Oriented Programming & Modules/1. Python Class 01.mp4 157.97 MB
6. Python 04 - Object Oriented Programming & Modules/2. Python Class 02.mp4 93.45 MB
6. Python 04 - Object Oriented Programming & Modules/3. Python Class 03.mp4 87.82 MB
6. Python 04 - Object Oriented Programming & Modules/4. Python Class 04.mp4 93.72 MB
6. Python 04 - Object Oriented Programming & Modules/5. Python Class 05.mp4 82.77 MB
6. Python 04 - Object Oriented Programming & Modules/6. Python Class 06.mp4 61.66 MB
6. Python 04 - Object Oriented Programming & Modules/7. Python Modules 1.mp4 72.25 MB
6. Python 04 - Object Oriented Programming & Modules/8. Python Modules 2.mp4 55.1 MB
6. Python 04 - Object Oriented Programming & Modules/9. Python Modules 3.mp4 76.96 MB
61. Convolutional Neural Networks/CNN 00 - Why do we need them .mp4.mkv 19.24 MB
61. Convolutional Neural Networks/CNN 01 - What is Convolution .mp4 43.44 MB
61. Convolutional Neural Networks/CNN 02 - Implementing Convolution, Understanding Filters.mp4 51.73 MB
61. Convolutional Neural Networks/CNN 03 - Convolution Layer.mp4 74.27 MB
61. Convolutional Neural Networks/CNN 04 - Strides and Padding.mp4 86.75 MB
61. Convolutional Neural Networks/CNN 05 - Pooling Layers.mp4 39.53 MB
61. Convolutional Neural Networks/CNN 06 Pooling Implementation.mp4 21.42 MB
61. Convolutional Neural Networks/CNN 07 - Dropouts.mp4 39.23 MB
62. Training - Data Loaders, Augmentation, Colab/1. Uploading Data on Google Colab.mp4 55.58 MB
62. Training - Data Loaders, Augmentation, Colab/2. Creating Data Generators (for large datasets).mp4 110.36 MB
62. Training - Data Loaders, Augmentation, Colab/3. Working with OS Module, creating Val Dir.mp4 37.83 MB
62. Training - Data Loaders, Augmentation, Colab/4. Training using 'fit_generator', Visualizing Results.mp4 96.05 MB
62. Training - Data Loaders, Augmentation, Colab/5. Image Pipelines - 1 Data Augmentation on the 'fly.mp4 181.06 MB
62. Training - Data Loaders, Augmentation, Colab/6. Image Pipelines 2 - Handling Validation Data.mp4 89.93 MB
62. Training - Data Loaders, Augmentation, Colab/7. Data Augmentation using ImgAug (Webinar).mp4 223.14 MB
63. Project - COVID Detection using CNN/1.Covid Detection using X-Rays (Webinar).mp4 267.22 MB
64. CNN Case Studies/1. Case Study 1 - Alexnet.mp4 170.18 MB
64. CNN Case Studies/2. Case Study - ZF Net, VGG.mp4 170.18 MB
64. CNN Case Studies/3. Case Study - GoogleNet, Inception Module.mp4 101.86 MB
64. CNN Case Studies/4. Mobilenets Paper Discussion Webinar (CNN).mp4 138.57 MB
65. Digging Deeper into Convnets/1. Building Convnets 1 - Filter Sizes, Receptive Fields.mp4 80.6 MB
65. Digging Deeper into Convnets/2. Building Convnets 3 - Effect of 'Pooling' Layers.mp4 96.81 MB
65. Digging Deeper into Convnets/3. Building Convnets 2 - Training CNN in Keras.mp4 48.59 MB
65. Digging Deeper into Convnets/4. Image Data Augmentation.mp4 56.93 MB
66. Transfer Learning/1. Transfer Learning Introduction.mp4 50.86 MB
66. Transfer Learning/2. Transfer Learning - 2 Using Pretrained Models.mp4 89.65 MB
66. Transfer Learning/3. Transfer Learning - Feature Extraction vs Fine-Tuning.mp4 97.13 MB
66. Transfer Learning/4. Transfer Learning Implementation using ResNet-50 Base.mp4 115.99 MB
68. Markov Chains for Text Generation (NLP)/1. Markov Chains - I Introduction.mp4 43.1 MB
68. Markov Chains for Text Generation (NLP)/2. Markov Chains - 2 Setting up Supervised Learning Problem.mp4 55.46 MB
68. Markov Chains for Text Generation (NLP)/3. Markov Chains - 3 Training a 'Speech Generator'.mp4 65.15 MB
68. Markov Chains for Text Generation (NLP)/4. Markov Chain 4 - Sampling.mp4 45.82 MB
68. Markov Chains for Text Generation (NLP)/5. Markov Chains 5 - Text Generation.mp4 50.8 MB
7. Python 05 - File and Error Handling/1. Python - File Handling.mp4 93.81 MB
7. Python 05 - File and Error Handling/2. Python - Working with JSON.mp4 60.44 MB
7. Python 05 - File and Error Handling/3. Python - Error Handling 1.mp4 38.45 MB
7. Python 05 - File and Error Handling/4. Python - Error Handling 2.mp4 30.58 MB
7. Python 05 - File and Error Handling/5. Python - Error Handling 3.mp4 35.78 MB
7. Python 05 - File and Error Handling/6. Python - Error Handling 4.mp4 70.98 MB
70. Recurrent Neural Networks/1. Sequence Models Introduction.mp4 44.1 MB
70. Recurrent Neural Networks/2. Understanding RNN Cell.mp4 45.64 MB
70. Recurrent Neural Networks/3. RNN - Different Architectures.mp4 29.76 MB
70. Recurrent Neural Networks/4. RNN - Forward Propagation.mp4 15.19 MB
70. Recurrent Neural Networks/5. RNN - Backpropagation through time.mp4 80.72 MB
70. Recurrent Neural Networks/6. Embedding Layers Word Embeddings.mp4 50.14 MB
70. Recurrent Neural Networks/7. Tutorial - Building a Recurrent Neural Network in Keras.mp4 134.99 MB
70. Recurrent Neural Networks/8. Keras Callbacks - EarlyStopping, Creating Checkpoints.mp4 119.33 MB
71. Word Embeddings - Word2Vec/1. Word2Vec - Finding Odd One Out.mp4 197.56 MB
71. Word Embeddings - Word2Vec/2. Word2Vec - Finding Word Analogies.mp4 74.55 MB
71. Word Embeddings - Word2Vec/3. Word2Vec in NLP Ranveer - Deepika + Priyanka = Nick LIVE Deep Learning Premier [Hindi].mp4 71.11 MB
73. Project - Emoji Prediction/1.Transfer Learning in NLP.mp4 37.83 MB
73. Project - Emoji Prediction/2.Emoji Predictor - Project Overview.mp4 16.07 MB
73. Project - Emoji Prediction/3.Working with the 'emoji' package.mp4 21.67 MB
73. Project - Emoji Prediction/4.Processing Custom 'emoji' dataset.mp4 26.08 MB
73. Project - Emoji Prediction/5.Glove Vectors.mp4 25.65 MB
73. Project - Emoji Prediction/6.Glove Embeddings.mp4 26.66 MB
73. Project - Emoji Prediction/7.Creating a LSTM Architecture.mp4 113.27 MB
73. Project - Emoji Prediction/8.Training a Stacked LSTM.mp4 34.81 MB
73. Project - Emoji Prediction/9.Outputting Emoji's for Test Data.mp4 23.81 MB
75. Reinforcement Learning/1.RL1 Reinforcement Learning Introduction.mp4 46.15 MB
75. Reinforcement Learning/2.RL2 Understanding OpenAI Gym Interface.mp4 71.15 MB
75. Reinforcement Learning/3.RL3 Playing Cartpole Using Random Technology.mp4 40.73 MB
75. Reinforcement Learning/4. RL4 Q Learning.mp4 53.61 MB
75. Reinforcement Learning/5. RL5 Agent Design Exploration vs Exploitation Tradeoff.mp4 39.71 MB
75. Reinforcement Learning/6. RL6 Understanding DQN Model Architecture.mp4 34.87 MB
75. Reinforcement Learning/7. RL7 Training Using Replay Buffer.mp4 89.01 MB
75. Reinforcement Learning/8. RL8 Training 'Deep Q Learner' for Game Playing.mp4 77.19 MB
76. 🚀 Mountain Car Challenge/2.RL Assignment - Create an RL DQN Agent for Mountain Car.mp4 4.95 MB
77. Generative Adversarial Networks/1. GAN 01 Generative Models.mp4 109.96 MB
77. Generative Adversarial Networks/2. GAN 02 Generative Models-II.mp4 49.9 MB
77. Generative Adversarial Networks/3. GAN 03 Intuition.mp4 14 MB
77. Generative Adversarial Networks/4. GAN 04 Architecture.mp4 20.1 MB
77. Generative Adversarial Networks/5. GAN 05 Training.mp4 27.84 MB
77. Generative Adversarial Networks/6. GAN 06 Training Tricks.mp4 11.15 MB
77. Generative Adversarial Networks/7. GAN 07 Coding a GAN-I.mp4 36.03 MB
77. Generative Adversarial Networks/8. GAN 08 Coding a GAN-II.mp4 253.34 MB
78. Deep Convolutional GAN's (DCGANs)/1. DCGAN01 - Deep Convutional GAN's.mp4 27.98 MB
78. Deep Convolutional GAN's (DCGANs)/2. DCGAN02 - Upsampling & Downsampling Architecture.mp4 15.16 MB
78. Deep Convolutional GAN's (DCGANs)/3. DCGAN03 - Building Generator [Code].mp4 19.25 MB
78. Deep Convolutional GAN's (DCGANs)/4. DCGAN04 - Building Discriminator [Code] .mp4 15.09 MB
78. Deep Convolutional GAN's (DCGANs)/5. DCGAN05 - Training & Results.mp4 6.16 MB
78. Deep Convolutional GAN's (DCGANs)/6. DCGAN06 - Learnable Upsampling.mp4 14.22 MB
78. Deep Convolutional GAN's (DCGANs)/7. DCGAN07 - Transpose Convolutions.mp4 49.51 MB
78. Deep Convolutional GAN's (DCGANs)/8. DCGAN08 - Implementing GAN Generator with Learnable Upsampling.mp4 49.65 MB
8. Iteration Protocol and Generators (Intermediate Python)/1. Python - Iteration Protocol.mp4 27.68 MB
8. Iteration Protocol and Generators (Intermediate Python)/2. Iterators in Python.mp4 20.78 MB
8. Iteration Protocol and Generators (Intermediate Python)/3. Generators in Python.mp4 23.84 MB
80. 🚀 All Challenges/5. Challenge - Scrape PepperFry Challenge/1. Challenge - Scrape PepperFry Challenge.mp4 8.95 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 01 - Image Captioning Project Introduction.mp4 24.59 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 02 - Data Collection.mp4 35.48 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 03 - Text Cleaning.mp4 31.19 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 04 - Creating Vocab.mp4 55.56 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 05 - Prepare Train Test Data.mp4 34.06 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 06 - Image Preprocessing.mp4 63.09 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 07 - Images to Features (Transfer Learning).mp4 73.87 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 08 - Preprocessing Captions.mp4 34.88 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 09 - Image Captioning as Supervised Learning Problem.mp4 62.11 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 10 - Making Custom Data Loader.mp4 31.14 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 11 - Using Glove Embeddings [Transfer Learning].mp4 78.56 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 12 - Caption Bot AI Model.mp4 25.17 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 13 - Model Implementation (Keras Functional API).mp4 37.94 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 14 - Model Training.mp4 14.75 MB
81. 🏆 CAPSTONE PROJECT - AI Image Caption Bot 🤖/IC 15 - Prediction-Inference.mp4 125.77 MB
82. 🏆 ML + Web Project Creating ML Based Web Service (Django)/Emojifier Web Integration - 1.mp4 167.89 MB
82. 🏆 ML + Web Project Creating ML Based Web Service (Django)/Emojifier Web Integration - 2.mp4 193.67 MB
83. Integrating ML Models with Web (Flask)/1. Flask Basics.mp4 27.51 MB
83. Integrating ML Models with Web (Flask)/2. Flask Templates.mp4 24.69 MB
83. Integrating ML Models with Web (Flask)/3. Taking Inputs from Users in Flask.mp4 35 MB
83. Integrating ML Models with Web (Flask)/4. ML model with Flask.mp4 35.03 MB
83. Integrating ML Models with Web (Flask)/5. Image Captioning on Flask - I.mp4 57.4 MB
83. Integrating ML Models with Web (Flask)/6. Image Captioning on Flask - II.mp4 48.15 MB
83. Integrating ML Models with Web (Flask)/7. Image Captioning on Flask - III.mp4 30.81 MB
83. Integrating ML Models with Web (Flask)/8. Heroku Deployment.mp4 46.86 MB
84. 🏆 CAPSTONE PROJECT - AI Music Generation/1. Music Generation 01 - Introduction.mp4 26.91 MB
84. 🏆 CAPSTONE PROJECT - AI Music Generation/2. Music Generation 02 - Parsing MIDI Files.mp4 28.69 MB
84. 🏆 CAPSTONE PROJECT - AI Music Generation/3. Music Generation 03 - Prepare Sequential Data for LSTM.mp4 27.42 MB
84. 🏆 CAPSTONE PROJECT - AI Music Generation/4. Music Generation 04 - Model Architecture.mp4 19.6 MB
84. 🏆 CAPSTONE PROJECT - AI Music Generation/5. Music Generation 05 - Predictions.mp4 20.39 MB
84. 🏆 CAPSTONE PROJECT - AI Music Generation/6. Music Generation 06 - Creating Music Files.mp4 22.31 MB
85. Tensorflow Introduction/1. Tensorflow - Introduction.mp4 26.55 MB
85. Tensorflow Introduction/2. Tensorflow - Basics.mp4 24.97 MB
85. Tensorflow Introduction/3. Tensorflow - Understanding Linear Regression Computation Graph.mp4 51.83 MB
86. Introduction to PyTorch/1. Pytorch - Introduction.mp4 17.68 MB
86. Introduction to PyTorch/2. Pytorch - Linear Regression.mp4 31.25 MB
87. Project Ideas/Machine Learning Project Ideas.mp4 45.45 MB
9. Python Practice Problems/3. Python - Backtracking - Generate Paranthesis.mkv 23.88 MB
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