Data Science Boot Camp : Road Map

Python Basics:

Day 1: Datatypes and Strings in Python
Day 2: Operations in Python
Day 3: Lists, Tuples, Dictionaries in Python
Day 4: Conditional Statements
Day 5: Loops and Functions in Python
Day 6: File handling and Module Handling

Machine Learning:

Libraries:

Day 7: Numpy, Pandas, Matplotlib, Scikit-learn, and Seaborn

Preprocessing:

Day 8: Importing Dataset, Taking care of missing data, Encoding Data and Train Test Split

Regression:

Day 9: Linear Regression (Simple, Multiple and Polynomial)
Day 10: Support Vector Regression
Day 11: Decision Tree Regression and Random Forest Regression
Day 12: Evaluation of a Regression Model performance and Model Selection

Classification:

Day 13: Logistic Regression and K-Nearest Neighbours
Day 14: Support Vector Machine and Kernel SVM
Day 15: Naive Bayes
Day 16: Decision tree and Random Forest
Day 17: Evaluation of a Classification Model performance and Model Selection

Clustering:

Day 18: K-means and Hierarchial Clustering