Data Science Masterclass
Data Science is a method of huge data analysis that automates analytical model building. It is a branch of artificial intelligence. A lot of opportunities are out there in the field of ml and AI in India. People already using ml in the field of image processing, pattern analysis, marketing, data analysis have a pretty good future in India. The Machine Learning sessions provide the participants technical training on the concepts and Machine Learning algorithms to develop the code. Participants will also learn to use different Python libraries. Instruction cum aided with live projects which will allow students to grasp concepts of the complete data science development lifecycle.
Learning Path
The learning path of any learning concept is rather very important, as it is the way through which the learning process is enabled. This data Science Master class is designed to make the participant learn from scratch and master the concepts with ease.
 Python for Data Science and advance Programming
 Libraries – Pandas, Numpy, Matplotlib, Seaborn, and Sklearn
 Python – Data Aggregation, Tokenization, Visualization, Statistical Analysis.
 Tools – Tableau and Power Bi.
 Industry Projects – House Price Prediction, Customer Segmentation, Spam Classification, and More.
Program Overview

Orientation  Data Science Master Class

Day 1: Python for Data Science (5 Solved endtoend Data Science Projects in Python)

Day 2: Advanced Python Programming

Day 3: Pandas Library – Introduction

Day 4: Pandas Library – Data Structures

Day 5: Numpy library – Array Operations  Mathematical Functions

Day 6: Numpy – Sort, Search, and Counting Functions

Day 7: Matplotlib, Histogram Using Matplotlib  I/O With Numpy

Day 8: Matplotlib Library – Introduction, Pyplot API  Types Of Plots

Day 9: Seaborn Library

Day 10: SKLearn Library

Day 11: Google Colab Notebook

Day 12: Python – Date and Time, Data Wrangling

Day 13: Python – Data Aggregation

Day 14: Python – Word Tokenization, Stemming, and Lemmatization

Day 15: Python – Data Visualization

Day 16: Python – Statistical Analysis

Day 17: Python – Types Of Distribution

Day 18: Python – Correlation, ChiSquare Test , Linear Regression

Day 19: Tableau – Introduction and Tools

Day 20: Tableau – Data Sources , Worksheets

Day 21: Spatial Data Science For Covid19 Disease Prediction

Day 22: PowerBI – Introduction, Installation Steps, and Architecture

Day 23: PowerBI – Data Modelling, Visualization Options  Excel Integration

Day 24: Parkinson’s Disease Prediction – XG Boost Classifier

Day 25: House Price Prediction using Random Forest Regression

Day 26: Customer Segmentation Using ML – KMeans Clustering

Day 27: Home Loan Prediction using Decision Tree Classifier

Day 28: Spam Classification using NLP

Day 29: HandWritten Digit Recognition Using CNN

Day 30: Churn Prediction using Deep Learning
Reviews

THANKS MADAM FOR NICE TEACHING AND LEARNING PROCESS

Machine

Really good flatform for Data science
THANKS MADAM FOR NICE TEACHING AND LEARNING PROCESS
IF I HAVE A PERSONAL DOUBT HOW CAN I CONTACT YOU MADAM
AS IN CHATBOX IT IS VERY FAST MOVING
Ok
First comment
Very much informative this course would like to 5ake place to this live session
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Good platform to learn the course.
Thanks madam for nice teaching
And thanks to pantech e learning
THANKS MADAM FOR NICE TEACHING AND LEARNING PROCESS
Thank you for the great sessions.