DataScience-with-python

1. Getting Basics Done

   • Basic GIT commands
   • Introduction to SQL
   • Math for Data Analysis

2. Getting Intro to Data Science

   • Introduction to Python for Data Analysis (DataCamp/edx) along with book by Wes McKinney. (To Do)
   • Data Manipulation in Python (Kaggle Learn) (Ongoing)
   • Data Visualisation in Python (Kaggle Learn) (Ongoing)

3. Going Deep Into Data Science

   • Deep Learning Andrew Ng (deeplearning.ai)
   • Fastai Machine Leanring (fastai ML) (Ongoing)
   • Fastai Deep Learning Live 2018, 2017 (Fastai DeepLearning) (OnGoing)

4. Personal Projects

   • House Price Prediction (Random Forest/XGBoost/Kaggle_Project)
   • Stock Market behaviour on shock (Explain data using RF Model and Predict using LSTM).
   • Cryptocurrency Recommender System (To Do)
   • Based on FASTAI V1 Build Dog Breed Classification models
   • Using FASTAI V1 build Car Classification application and hosted it.
   • NLP - Summarization of Text using WordFrequency and TextRank.