Numpy, Pandas, Data visualisation, Data acquisition, Data Cleaning, sklearn, Regression, Classification, Model Tuning, SVM, XGboost
5 ProjectsChance to get your Article published CertificatesPortfolio Making and hostingInternship Chance.
Revisiting Python LibrariesWhat is Data ScienceData acquisition (Numpy, Pandas) Data visualisation (Matplotlib, Seaborn) Data cleaning1st Project Submission & Leader board
Introduction to MLTypes of learning (Supervised vs Unsupervised) Regression vs Classification Performance measure (accuracy,confusion matrix, F1-score)2nd Project Submission & Leader
Linear regression Project (house pricing Estimation) Overfitting and underfitting Bias variance trade-off3rd Project Submission & Leaderboard Updated.
Logistic Regression Project (Ad click prediction) SVM Project(iris flower classification)Boosting4th Project Submission & Leader board Updated.