Data Science Tutorial

This Repository is a Road Map for Data science. We are starting from Very Basics and will go to all the advance concepts.

Basic Topics :

Installation
Jupyter Notebook Demo
Python Introduction
Python Strings
Conditional Statements in Python
Python Data Structure
a. Lists
b. Tuples
c. sets/Frozensets
d. Dictionary
Python Loops
Python List Comprehensions
Python Functions
Python Lambda Functions
Python Map, Filter & Reduce
Python Error Handling
Python OOPs Concepts
Python Time Complexity
Python Searching Algorithms
Note I will keep on updating this Readme file as and when the notebooks are created.

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
1. Installing Anaconda with Python.pdf		1. Installing Anaconda with Python.pdf
10. Python Loops.ipynb		10. Python Loops.ipynb
11. Python List Comprehension.ipynb		11. Python List Comprehension.ipynb
12. Python Functions.ipynb		12. Python Functions.ipynb
13. Python Lambda Functions.ipynb		13. Python Lambda Functions.ipynb
14. Python Map Reduce & Filter.ipynb		14. Python Map Reduce & Filter.ipynb
15. Python Error Handling.ipynb		15. Python Error Handling.ipynb
16. Python OOPs Concepts.ipynb		16. Python OOPs Concepts.ipynb
17. Time Complexity.ipynb		17. Time Complexity.ipynb
18. Searching Algorithms.ipynb		18. Searching Algorithms.ipynb
2. Jupyter Notebook Introduction.ipynb		2. Jupyter Notebook Introduction.ipynb
3. Python Introduction.ipynb		3. Python Introduction.ipynb
4. Python Strings.ipynb		4. Python Strings.ipynb
5. Conditional Statements in Python.ipynb		5. Conditional Statements in Python.ipynb
6. Python Lists.ipynb		6. Python Lists.ipynb
7. Python Tuples.ipynb		7. Python Tuples.ipynb
8. Python Sets.ipynb		8. Python Sets.ipynb
9. Python Dictionaries.ipynb		9. Python Dictionaries.ipynb
Business Problem Solving.ipynb		Business Problem Solving.ipynb
README.md		README.md
Reloading Saved Model.ipynb		Reloading Saved Model.ipynb
best_rf_clf.pkl		best_rf_clf.pkl

Provide feedback