APSSDC Certified 30 Days Free Masterclass on Data Science DAY TOPICS Day-01 Data Science & Industry Requirements / Applications Day-02 Python for Data Science Day-03 Data Science & Python Fundamentals - Overview Day-04 Implementing Pandas Library Day-05 NumPy Library – Case Study Day-06 Matplotlib – Applications Day-07 Seaborn and scikit library Implementation Day-08 Logistic & Linear Regression Day-09 ML Algorithms – SVM Day-10 ML Algorithms – Decision Tree Day-11 Deep Learning Techniques - Bagging & Boosting Day-12 Deep Learning Techniques - Keras Day-13 Neural Networks - ANN & CNN Day-14 Importing and Manipulation of data Day-15 Concepts on excel sheet with Datascience Day-16 Concepts of Datascience - Data Frame ,Functions & Data preparation Day-17 An intro to qlikview tool,qlikscale tool Day-18 Basic concepts of qlikview and the usage of this tool in datascience domain Day-19 NLP in Data Science Day-20 Case Study - Detection Models - I - Cyber Money Laundering Detection Day-21 Case Study - Detection Models - II - Anamoly Detection Day-22 Case Study - Prediction Models I - Heart Disease Prediction Day-23 Myers briggs personality prediction using ml Day-24 Classification Models - I - Spam Classification Models Day-25 Classification Models - II - Movie Review Classification Day-26 Segmentation Models - I - Customer Segmentation Model Creation Day-27 Project - 1 - Emotion Detection using Python Day-28 Project - II - Wine Quality Prediction using Datasets Day-29 Project - III - Twitter Dataset Classification using DL Day-30 Data Science - Tools , Languages & Jobs