This contains a roadmap for students to learn Data Science

Data Science Roadmap

Mentors

Prakhar Srivastava
Saloni Mehra
Vishesh Tripathi
Devansh Singh

The roadmap is divided into 4 chapters that span across the whole tenure of the course. Chapters are required to be completed by the mentor and the student.

Downlaod Anaconda : https://www.anaconda.com/distribution/#download-section
or you may also use any other python IDE

Chapter 1 Basic Python Data Structures

Unit 1 Numpy & Scipy
Useful Links: Numpy Doc, Scipy Doc
Unit 2 Pandas
Useful Link: Pandas Video Tutorial

Chapter 2 Plotting with different libraries

Unit 1 Matplotlib
Useful Links: Video Tutorial, Matplot Doc
Unit 2 Seaborn
Useful Link: Seaborn Doc, Video Tutorial

Chapter 3 Machine Learning using sklearn

Unit 1 Probabilistic and Statistical Models
Unit 2 Machine Learning Models and Algorithms
Useful Link: Scikit Learn Doc

Chapter 4 Making Predictions using Keras

Unit 1 Feature Engineering
Unit 2 Neural Networks and Deep Learning
Useful Link: Kears Doc

References Projects/Code samples

Regression

Linear regression - https://medium.com/@contactsunny/linear-regression-in-python-using-scikit-learn-f0f7b125a204
Support Vector Regressor - https://medium.com/coinmonks/support-vector-regression-or-svr-8eb3acf6d0ff
also try - Support Vector Regressor, Extra trees regressor, Decision tree regressor, Random forest regressor, Adaboost regressor

https://scikit-learn.org/stable/modules/clustering.html

Classification

Logistic regression - https://towardsdatascience.com/logistic-regression-using-python-sklearn-numpy-mnist-handwriting-recognition-matplotlib-a6b31e2b166a
Random forest classifier - https://chrisalbon.com/machine_learning/trees_and_forests/random_forest_classifier_example/
Support Vector Classifier - https://scikit-learn.org/stable/tutorial/basic/tutorial.html
Also try DecisionTreeClassifier, ExtraTreeClassifier, GaussianProcessClassifier, GradientBoostingClassifier

Clustering

K-Means - https://towardsdatascience.com/k-means-clustering-with-scikit-learn-6b47a369a83c
DBSCAN - https://www.dummies.com/programming/big-data/data-science/how-to-create-an-unsupervised-learning-model-with-dbscan/
Also try - https://scikit-learn.org/stable/modules/clustering.html

Sklearn API reference : https://scikit-learn.org/stable/modules/classes.html