/100DaysOfMLCode

Log Repository for 100 Days of ML Code Challenge

Primary LanguageJupyter Notebook

100DaysOfMLCode

Log Repository for 100 Days of ML Code Challenge

Day 1 : 04.07.18

Today's Progress :

  • Completed Week 1 & Week 2 of Andrew Ng's Course

Day 2: 05.07.18

Today's Progress :

  • Started With Week 3 of Andrew Ng's course.
  • Implemented Linear Regression Repository.

Day 3: 06.07.18

Today's Progress :

  • Completed Week 3 of Ng's course.
  • Implemented Neural Net with one hidden layer. Link

Day 4: 07.07.18

Today's Progress :

Day 5: 08.07.18

Today's Progress :

  • Applied For Coursera's Financial Aid for Deep Learning specialization.
  • Implemented Logistics Regression from Scratch. Link To Commit

Day 6: 09.07.18

Today's Progress :

  • Did some basic HTML from FreeCodeCamp.
  • Read some topics from book on Deep Learning by Valentino Zocca

Day 7: 10.07.18

Today's Progress :

  • Made a twitter bot in python ,for 100 Days of ML Code.
  • Link to bot Profile
  • Practiced a little bit of Linear Algebra.

Day 8: 11.07.18

Today's Progress :

  • Started Google ML Crash Course.
  • Applied some examples from Tensorflow Documentation.

Day 9: 12.07.18

Today's Progress :

  • Completed Google ML Crash Course.

Day 10: 13.07.18

Today's Progress :

  • Understood docs of @scikit_learn library. Implemented all Ensemble methods & Linear Regression Methods Available.

Day 11: 14.07.18

Today's Progress :

  • Revised all the things done in last 10 days.
  • Read tutorials on how to implement Dropout Regularization

Day 12: 15.07.18

Today's Progress :

  • Setup Torch, keras & other libraries for Deep Learning.
  • Completed FreeCodeCamp's HTML course.

Day 13: 16.07.18

Today's Progress :

  • Applied Keras Implementation to MNIST Dataset.
  • Got a rank of 1.2k on Kaggle Competition on Digit Recognizer.

Day 14: 17.07.18

Today's Progress :

Day 15: 18.07.18

Today's Progress :

  • Built SVM classifier from scratch using Hinge Loss. Link to Commit
  • Started with @sirajraval 's Math of Intelligence Series.

Day 16: 19.07.18

Today's Progress :

  • Understood Newton's Method for second order Optimization.
  • Did 2 projects from freeCodecamp

Day 17: 23.07.18

Today's Progress :

  • Implemented He Initialization on dataset & noted the difference between Random & He Initialization on Neural Net.

Day 18: 24.07.18

Today's Progress :

  • Completed Week 01 of DeepLearning Specialization.
  • Implemented He initialization on dataset.

Day 19: 25.07.18

Today's Progress :

  • Completed Course 02 of DeepLearning Specialization.
  • Implemented Batch Normalization.
  • Used SIGNS dataset to train a Vanilla Neural Net & got 72% accuracy.

Thoughts:

  • Would try to complete the whole specialization before 1st Aug.

Day 20: 26.07.18

Today's Progress :

  • Completed Course 03 of DeepLearning Specialization.
  • Working on implementing Basic Neural Net on MNIST dataset using TensorFlow.

Day 21: 27.07.18

Today's Progress :

  • Started with CNN course of DeepLearning Specialization.
  • Implemented Simple Neural Net on MNIST dataset.
  • Having Variance problem,got 62% of accuracy on MNIST dataset.

Day 22: 28.07.18

Today's Progress :

  • Completed Week 1 of CNN Course.
  • Made a CNN from Scratch.
  • Trained CNN on SIGNS dataset in tensorflow.

Day 23: 29.07.18

Today's Progress :

  • Completed week 2 of CNN course.
  • Tried to understand some kernels on Kaggle.

Day 24: 30.07.18

Today's Progress :

  • Completed Week 3 of CNN course.

Thoughts :

  • Speed would be slower now as I've to give time to my college😭😪

Day 25: 31.07.18

Today's Progress :

  • Completed CNN Course.
  • Implemented a Neural Style Transfer on Image.

Day 26: 01.08.18

Today's Progress :

  • Started working on a kernel with MNIST dataset.

Day 27: 02.08.18

Today's Progress :

  • Worked on MNIST dataset & finally got 99.742 on MNIST dataset.
  • Learned how to implement Layers in keras.
  • Would be trying Elastic Collisions Augmentation on the dataset
  • Notebook in folder of Day 27.

Day 28: 03.08.18

Today's Progress :

  • Revised all things done in past 15 days.

Day 29: 04.08.18

Today's Progress :

  • Revised all things done in past 15 days.

Day 30: 05.08.18

Today's Progress :

  • Started with Sequence Models.

Day 31: 07.08.18

Today's Progress :

  • Started with a competition.
  • Completed week 01 of RNN

Day 32: 08.08.18

Today's Progress :

  • Engrossed in @hackerrank Competition for Data science.

Day 33: 09.08.18

Today's Progress :

  • Engrossed in @hackerrank Competition for Data science.

Day 34: 10.08.18

Today's Progress :

  • Stuck at wondering how to use the Image dataset having Images with 1920x1080 size to 100x100 in the dataset.

Day 35: 16.08.18

Today's Progress :

  • Would be working on Neural Style algorithm for next few Days.

Day 36: 17.08.18

Today's Progress :

  • Read 2 Research papers on Neural Art
  • Studied about VGG19 Network

Day 37: 18.08.18

Today's Progress :

  • Successfully made a Neural Style Transfer Model
  • Would be Upgrading it for Multiple Styles with help of Research Paper by Shubhang Desai.

Day 38: 19.08.18

Today's Progress :

  • Completed Week 02 of Sequence Models

Day 39: 20.08.18

Today's Progress :

  • Completed Week 02 of Sequence Models

Day 40: 21.08.18

Today's Progress :

  • Made a sentiment Classifier using LSTM.

Day 41: 22.08.18

Today's Progress :