100-Days-of-Code-Data-Science

Starting a 100 Days Code Challenge for Learning Data Science from Scratch is my goal on Learning Data Science in Machine Learning by:

• Learning Fundamentals of Python
• Python Libraries for Data Science
• Data Manipulation and Preprocessing
• Machine Learning Basics
• Advanced Machine Learning Techniques
• Deep Learning and Neural Networks
• Model Evaluation and Deployment
• Data Science Project and Wrap-Up

---

📅 Calendar Progress

📅 FEB 2025

Sun	Mon	Tues	Wed	Thurs	Fri	Sat
						1
2	3	4	5	6	7	8
9	10	11	12	13	14	15
16	17	18	19	20	21	22
23 ✅	24 ✅	25 ✅	26 ✅	27 ✅	28 ✅

📅 March 2025

Sun	Mon	Tues	Wed	Thurs	Fri	Sat
						1 ✅
2 ✅	3 ✅	4 ✅	5 ✅	6 ✅	7 ✅	8 ✅
9 ✅	10 ✅	11 ✅	12 ✅	13 ✅	14 ✅	15 ✅
6 ✅	17 ✅	18 ✅	19 ✅	20 ✅	21 ✅	22 ✅
23 ✅	24 ✅	25 ✅	26 ✅	27 ✅	28 ✅	29 ✅
30 ✅	31 ✅

📅 April 2025

Sun	Mon	Tues	Wed	Thurs	Fri	Sat
						1 ✅
2 ✅	3 ✅	4 ✅	5 ✅	6 ✅	7 ✅	8 ✅
9 ✅	10 ✅	11 ✅	12 ✅	13 ✅	14 ✅	15 ✅
16 ✅	17 ✅	18 ✅	19 ✅	20 ✅	21 ✅	22 ✅
23 ✅	24 ✅	25 ✅	26 ✅	27 ✅	28 ✅	29 ✅
30 ✅

🗂️ Repository Structure

📘 Python Fundamentals

Section	Description
Basic_Python	Covers fundamental syntax, control structures, functions, and core Python concepts
OOPS	Object-Oriented Programming principles with practical implementations

📂 Data Structures

Structure	Coverage
Array	Includes arrays, lists, strings, tuples, sets, and dictionaries with operations.

📊 Python Libraries for Data Science

Section	Coverage
NumPay	Numerical computing and array operations
Pandas	Data manipulation and analysis
Matplotlib	Data visualization and plotting
Seaborn	Statistical data visualization
Sk Learn	Machine learning algorithms and models

📖 Data Manipulation and Preprocessing

Section	Coverage
Data Manipulation	feature scaling, encoding categorical data, data normalization preprocessing steps to improve data quality and model performance.

🛠️ Machine Learning Basics

Topics	Use Case
Linear Algebra	Vectors, Matrices
Statistics & Probability	Mean, Variance, Probability Distributions
Calculus	Derivatives, Gradients
Optimization Techniques	Gradient Descent