Name	Name	Last commit message	Last commit date
Latest commit History 252 Commits
1. Linear Regression (Day-1)	1. Linear Regression (Day-1)
10. Logistic Regression (Day-10)	10. Logistic Regression (Day-10)
100. DL In Production	100. DL In Production
11. Neural Network From Scratch (Day-11)	11. Neural Network From Scratch (Day-11)
12. Backpropagation Algorithm Neural Network (Day-12)	12. Backpropagation Algorithm Neural Network (Day-12)
13. NLP	13. NLP
14. NlP -Part 2	14. NlP -Part 2
15. NLP- Part 3 (Sentiment Analysis)	15. NLP- Part 3 (Sentiment Analysis)
16. NLP -Part 4 (Sentiment Analysis)	16. NLP -Part 4 (Sentiment Analysis)
17. NLP -Part 5 (Sentiment Analysis)	17. NLP -Part 5 (Sentiment Analysis)
18. NLP -Part 6 (Naive Bayes Classification)	18. NLP -Part 6 (Naive Bayes Classification)
19. NLP -Part 7 (Text Clasification-TextBlob)	19. NLP -Part 7 (Text Clasification-TextBlob)
2. Decision Tree (Day-2)	2. Decision Tree (Day-2)
20. Hello Tensorflow (Tensorflow Basics)	20. Hello Tensorflow (Tensorflow Basics)
21. Tensorflow-Linear (Part-2)	21. Tensorflow-Linear (Part-2)
22. Tensorflow Linear (Part-3)	22. Tensorflow Linear (Part-3)
23. Tensorflow Basics-Activation Functions (Day-23)	23. Tensorflow Basics-Activation Functions (Day-23)
24. Linear Regression In Tensorflow Way	24. Linear Regression In Tensorflow Way
25. SVM In Tensorflow Way	25. SVM In Tensorflow Way
26. Nearest Neighbor Methods	26. Nearest Neighbor Methods
27. Neural Networks In Tensorflow Way	27. Neural Networks In Tensorflow Way
28. NLP In Tensorflow Way (Part-1)	28. NLP In Tensorflow Way (Part-1)
29. NLP In Tensorflow Way (Part-2)	29. NLP In Tensorflow Way (Part-2)
3. Support Vector Machine (Day-3)	3. Support Vector Machine (Day-3)
30. Santander Value Prediction (Kaggle Competition)	30. Santander Value Prediction (Kaggle Competition)
31. RNN Implementation Using Numpy	31. RNN Implementation Using Numpy
32. LSTM Implementation	32. LSTM Implementation
33. RNN-LSTM Implementation using Tensorflow	33. RNN-LSTM Implementation using Tensorflow
34. Retail Price Recommendation (Kaggle)	34. Retail Price Recommendation (Kaggle)
35. Multi Label Text Classification	35. Multi Label Text Classification
36. MNIST Digit Recognizer Using Tensorflow(Kaggle)	36. MNIST Digit Recognizer Using Tensorflow(Kaggle)
37. Home Credit Default Risk (Kaggle)	37. Home Credit Default Risk (Kaggle)
38. Graph Analysis With pandas and networkx	38. Graph Analysis With pandas and networkx
39. Multiple Face Detection With Open Cv	39. Multiple Face Detection With Open Cv
4. Naive Bayes Algorithm (Day-4)	4. Naive Bayes Algorithm (Day-4)
40. Tensorflow Text Classification	40. Tensorflow Text Classification
41. Word2Vec Using Tensorflow (Word Embedding)	41. Word2Vec Using Tensorflow (Word Embedding)
42. Logistic Regression In Tensorflow Way	42. Logistic Regression In Tensorflow Way
43. Gradient Boosted Decision Tree (Tensorflow)	43. Gradient Boosted Decision Tree (Tensorflow)
44. RNN Classification (Tensorflow)	44. RNN Classification (Tensorflow)
45. RNN Regression (Tensorflow)	45. RNN Regression (Tensorflow)
46. Batch Normalization	46. Batch Normalization
47. Gradient Descent Visualization	47. Gradient Descent Visualization
48. Tensorflow Optimizers	48. Tensorflow Optimizers
49. Save & Reload Tensorflow Models	49. Save & Reload Tensorflow Models
5. K-Nearest Neighbor	5. K-Nearest Neighbor
50. Tensorboard	50. Tensorboard
51. PyTorch Fundamentals	51. PyTorch Fundamentals
52. Linear Regression & Logistic Regression With PyTorch	52. Linear Regression & Logistic Regression With PyTorch
53. Feed Forward Neural Network With PyTorch	53. Feed Forward Neural Network With PyTorch
54. CNN With PyTorch	54. CNN With PyTorch
55. RNN & LSTM With PyTorch	55. RNN & LSTM With PyTorch
56. Word2Vec With PyTorch	56. Word2Vec With PyTorch
57. Autoencoder With Pytorch	57. Autoencoder With Pytorch
58. Denoising Autoencoder With Pytorch	58. Denoising Autoencoder With Pytorch
59. Variational Autoencoder With PyTorch	59. Variational Autoencoder With PyTorch
6. Random Forest Algorithm (Day -6)	6. Random Forest Algorithm (Day -6)
60. Language Model With PyTorch	60. Language Model With PyTorch
61. Autograd Backward Depth In PyTorch	61. Autograd Backward Depth In PyTorch
62. Generative Adversarial Network With PyTorch	62. Generative Adversarial Network With PyTorch
63. Conv GAN With PyTorch	63. Conv GAN With PyTorch
64. GAN With PyTorch	64. GAN With PyTorch
65. InfoGAN With Pytorch	65. InfoGAN With Pytorch
66. Softmax GAN With PyTorch	66. Softmax GAN With PyTorch
67. Markov Decision Processes	67. Markov Decision Processes
68. BicycleGan	68. BicycleGan
69. WGAN	69. WGAN
7. K-means Clustering (Day-7)	7. K-means Clustering (Day-7)
70.Sensor Networks	70.Sensor Networks
71.SGAN	71.SGAN
72. Dopamine	72. Dopamine
73. Leveraging Linguistics	73. Leveraging Linguistics
74. Text Representations	74. Text Representations
75. Sports Betting with RL	75. Sports Betting with RL
76. Kaggle Text Categorization Challenge	76. Kaggle Text Categorization Challenge
77. Seq2seq Model (PyTorch)	77. Seq2seq Model (PyTorch)
78. Stock Price Prediction Using LSTM	78. Stock Price Prediction Using LSTM
79. Nested LSTM	79. Nested LSTM
8. Dimensionality Reduction Algorithm (Day -8)	8. Dimensionality Reduction Algorithm (Day -8)
80. Gaussian Anomaly Detection - Bayesian	80. Gaussian Anomaly Detection - Bayesian
81. Denoising AutoEncoder With Tensorflow	81. Denoising AutoEncoder With Tensorflow
82. Restricted Boltzmann Machines in PyTorch	82. Restricted Boltzmann Machines in PyTorch
83. Restricted Boltzmann Machines for Collaborative Filtering in Tensorflow	83. Restricted Boltzmann Machines for Collaborative Filtering in Tensorflow
84. OpenCV + PyTorch	84. OpenCV + PyTorch
85. Toxic Comment Challenge Kaggle	85. Toxic Comment Challenge Kaggle
86. Analysing IMDB reviews using GloVe and LSTM	86. Analysing IMDB reviews using GloVe and LSTM
87. Recomendation System	87. Recomendation System
88. LSTM Word2Vec	88. LSTM Word2Vec
89. Text Summarization	89. Text Summarization
9. Gradient Boosting Algorithm (Day-9)	9. Gradient Boosting Algorithm (Day-9)
90.SAGAN	90.SAGAN
91.Character Level Name Classification	91.Character Level Name Classification
92. Probabilistic Topic Models Based Music Recommendation System	92. Probabilistic Topic Models Based Music Recommendation System
93. ObjectDetection Using Tensorflow - Flask	93. ObjectDetection Using Tensorflow - Flask
94. Short-text sentiment analysis REST API using Django and Keras	94. Short-text sentiment analysis REST API using Django and Keras
95. ObjectDetectAPI Imagenet	95. ObjectDetectAPI Imagenet
96. Understanding RCNN	96. Understanding RCNN
97. CIFAR-10 Classifier	97. CIFAR-10 Classifier
98. Recommendations System GAN	98. Recommendations System GAN
99. Ad ClickPrediction	99. Ad ClickPrediction

Name

Last commit message

Last commit date

252 Commits

1. Linear Regression (Day-1)

10. Logistic Regression (Day-10)

100. DL In Production

11. Neural Network From Scratch (Day-11)

12. Backpropagation Algorithm Neural Network (Day-12)

13. NLP

14. NlP -Part 2

15. NLP- Part 3 (Sentiment Analysis)