Classical Machine Learning With Python


Classical Machine Learning With Python

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The Machine Learning Fast Track is an online instructor program that will take you from novice-to-practitioner in applied machine learning. This program is laser-focused on teaching you practical, modern skills and tools that will take your career to the next level


  • Data Science And Its Concepts
  • Scope of Data Science
  • Data Engineering
  • Data Stories
  • Business Intelligence and it’s Concepts
  • Basics of Artificial Intelligence
  • Applications of AI in the real world
  • Problem Statement Understanding
  • What are Analytics?
  • What are the different types of Analytics?
  • Basic statistics – data, types of data, Levels of Measurment, Graphical representation of Data and its functionalities
  • Descriptive Statistics – Concepts andPractical, central tendency
  • Advance Statistics – Concepts and Practical (Hypothesis and alpha/beta error)
  • Inferential Statistics – Concepts andPractical (CI, sig. level, p, tests, one/two tail)
  • Basics of Python (With Practical hands on)
  • Python Installation
  • Variables & Operators in Python (With Practical handson)
  • Data Types in Python (With Practical handson)
  • Strings
  • List and Tuple
  • Dictionary
  • Condition & Loops of Python
  • Control Flow in Python
  • Functions in Python
  • Exceptional Handling
  • Modules and Packages
  • How to check for error on online websites
  • File Handling
  • Upload the solution and approach method on social media platforms
  • How to Solve Questions on competitive websites like Hackeerank, Codechef, Leetcode
  • Mathematical Operations with Numpy
  • Data Cleaning and extraction using pandas
  • Pandas Joins and Complex Data Manipulation methods
  • Data Analysis Using Pandas
  • Visualization and plotting using matplotlib and seaborn
  • Plot, subplot, axis, color, font, of various charts
  • Spicy
  • What is Machine Learning?
  • Types of Machine Learning
  • Application of Machine Learning
  • Algorithms of Machine Learning
  • Machine Learning Algorithms Using Pythonand Excel
  • Supervised machine Learning – Concepts andHands on –Linear, Multiple Regression
  • Evaluation Parameters
  • How to Take Hackathons. Step by Step Approach
  • Upload the solution and approach method on social media platforms
  • Supervised machine Learning – Concepts andHands on (Regression and Classifications) KNN, Decision tree,Random Forest, ADA Boost, Gradient Descent
  • Unsupervised machine Learning – Conceptsand hands on – Kmeans
  • Performance Analysis in Machine Learning
  • Machine Learning for Time Series
  • Evaluation and Performance

Learn the latest skills in market

Our corporate partners are deeply involved in curriculum design ensuring that it meets the current industry requirements for data science professionals. Learn through real-life industry projects sponsored by top companies across industries

Network with your future employers

Learn LinkedIn Personal Branding & Image building to showcase your skills and talent. Build Network with industry leaders to build relationships and get opportunities. A portfolio is the #1 way to prove your skills and win the trust of employers… And as you complete those projects, you’ll be building your portfolio too.

Crack the interview

Every organization is ready to provide a high pay package to skilled mobile app developer professionals. According to a survey by Payscale India, for fresh Data Scientists, the average salary ranges between ₹3.5 lacs - ₹5 lacs per annum

Learn Now, Pay Later

First Time in India. Just invest time and pay after you get a job.

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