#60_days_Code
Day 6 Coded a Neural Network
Day 7 Watched Lesson 5.7 Coded MNIST mnist.ipynb
Day 8 Read Two Blogs 1)https://towardsdatascience.com/convolutional-neural-network-for-breast-cancer-classification-52f1213dcc9 2)https://medium.com/swlh/deep-learning-predicting-skin-cancer-379084c33573
Day 9 Did Lesson 5.8 Coded sample neural networks with one and two hidden layers Sample model.ipynb
Day 10 Implemented the network given in 5.8
Started Again
Day 1 Coded sample code for Facebook Internship Climb the leaderboard (HackerRank)
Day 2 Lesson 5.10-5.11 Completed MNIST digits
Day 3 https://www.nytimes.com/2020/01/01/health/breast-cancer-mammogram-artificial-intelligence.html
Day 4 Lesson 5.12-5.13 Coded Fashion MNIST
Day 5 Read about XGBoost Worked on Reasearch Paper
Day 6 Lesson 5.14-5.15
Day 7 Coded a codechef problem(Jan20B BRKBKS) Worked on Research Paper
Day 8 lesson 5.16-5.19 1 coding problem coded all the jupyter notebooks
Day 9 Completed lesson 5 Worked on research paper
Day 10 Lesson 6.1-6.8
Day 11 Skipped
Day 12 HackerRank Problem time to word Research paper (Added ann) idea ppt
D13: Almost completed tyhe research paper
D14:HackerRak question Almost sorted Lesson 6.16-6.19
D15:Lesson 6.20-6.24
D16:Lesson 6.25-6.26 Updated abstract and ann in research paper
D17:HackerRank Problem one problem of codechef challenge Read a blog on different types of kernels https://towardsdatascience.com/types-of-convolution-kernels-simplified-f040cb307c37
D18: 3 HackerRank Problems
D19:Lesson 6.27-6.32
D20: Completed lesson 6 Started making ppt for webinar worked on research paper
D21: Made ppt Assgn
D22: Gave a webinar on CNN Attended Training and solved 5 questions
D23: Lesson 7.1-7.5 Solved two leetcode probles
D24: Lesson 7 Completed Solved one hackerRank Problem
D25: https://towardsdatascience.com/convolutional-neural-networks-from-the-ground-up-c67bb41454e1
D26: HackerRak Prolem tried to understand RN and LSTM
D27: Lesson 7.1-7.10
D28: HackerRank Problem Lisa's Workbook
D29-30: Skipped
D31-32:web Scrapping Coding
D33: Research paper compiler resume
D34: Project Euler #230 3 hackerRank prob cocubes coding competitive coding session
D35: Lesson 8.12-13 coded RNN Coding questions
D36: Diagonal difference Took coding session
D37: Coded 5 questions RM assgn Researched about future job prediction
D38: coded 5 questions Lesson 8.14-8.16
D39:5 problems
D40: Flipkart revised 5 problems
D41:Skipped
D42-43: Flipkart training Solved various problems.