Some Important Books and Notes
🌺 Advanced Python Programming: Click
🌺 Python Interview Questions: Click
🌺 Data Handling using Pandas-I: Click
🌺 Introduction to Numpy: Click
🌺 30 Python Libraries to (Hugely) Boost Your Data Science Productivity: Click
🌺 Think Stats- Exploratory Data Analysis in Python: Click
🌺 164 Data Science Interview Questions and Answers: Click
🌺 Keyboard Shortcuts for Data Scientists: Click
🌺 Python for Data Analysis: Click
🌺 Top 27 Common Job Interview Questions and Answers Samples: Click
🌺 Python Tutorial(Programming): Click
🌺 SQL Basics: Click
🌺 SQL Interview Questions and Answers: Click
🌺 Learning Python- Data Visualization: Click
🌺 Python Geospatial Development: Click
🌺 Python for Probability, Statistics and Machine Learning: Click
🌺 Python Resipes Handbook-A Problem-Solution Approach: Click
🌺 140 Machine Learning Formula: Click
🌺 Python Machine Learning Case Studies-Five Case Studies for the Data Scientist: Click
🌺 Designing Machine Learning Systems with Python: Click
🌺 Python Machine Learning-Machine Learning and Deep Learning with Python, Scikit Learn and TensorFolw: Click
🌺 Impractical Python projects: Click
🌺 Car Price Prediction-Assignment Solution: Click
🌺 Bengaluru House Price Prediction - Jupyter Notebook: Click
🌺 Top Machine Learning Models: Click