Name		Name	Last commit message	Last commit date
Latest commit History 253 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

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100DaysOfMLCode

Taking up the #100DaysOfMLCode Challange

Day 1-10 :Warming Up ML Algorithm

Day 10-20 : NLP

Day 20-30 : ML In Tensorflow Way

Day 30-40 : Kaggle Competitions

Day 40-50 : Deep Learning For NLP

Day 50-60 : Playing Around With PyTorch

Day 60-70 : GAN With PyTorch

Day 70-80 : Working With Deep NLP

Day 80-90 : Deep NLP , Autoencoders , RBM

Day 90-100 : ML & DL Models In Production

eziaeika/100DaysOfMLCode

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