Python For ML

Python is one of the world’s most popular programming
languages, and there has never been a greater demand for
professionals with the ability to apply python fundamentals
to drive business solutions across industries like today.

Master Python for ML: From Basics to Advanced Applications.

Both classroom (live) and online (pre-recorded) training programs will teach you Python, and you will find a lot of them out there. But what after that? Most students give up at this stage without doing any projects. We focus on providing industry-level projects with dedicated assistance. If you are looking to transition into the Data Science/Python field, we will assist with your resume and Naukri/LinkedIn profiles. Additionally, we offer sessions on how to crack interviews.

Why Choose Fialytics

Explore a plethora of Power BI training options out there – live classroom sessions and online pre-recorded courses. However, at Fialytics, our commitment goes beyond just teaching you how to wield SQL. We’re dedicated to bolstering your resume, enhancing your Naukri/LinkedIn profiles, and equipping you with interview-cracking techniques. Our approach not only solidifies your fundamental and technical grasp but also delves into the intricacies of Power BI development within corporate landscapes. Gain insights into real-world challenges, ensuring a seamless transition and sustained success in your new role.

Key Features and Benefits

Python For mL syllabus

Module 1: Introduction to Programing

What is Programming (Case Study).
Algorithm and Representation
Overview of Data types
Coding standards
Why Python?
Python installation

Module 2: Introduction to Python

Basic and Advanced Data types
Operations and Control structures
Conditionals and Control Flow
Functions
Libraries and Collection
Modules/Packages
Python in Data science
Assignment 1

Module 3: Data Processing using Numpy

Introduction to NumPy
Vector, Arrays and Matrix
Array features
Operations on arrays
Broadcasting
Image as a Numpy Matrix
Assignment 2

Module 4: Data Analysis using Pandas - I

Introduction to Pandas
Series object
Introduction to Dataframe object
Working with Dataframe
Exploring the Data
Assignment 3

Module 5: Data Analysis using Pandas - II

Operations on Dataframe
Conditional filtering
Broadcasting on dataframe
Aggregation Operation
Grouping operations
Combining Dataframes
Pivot table

Module 6: Data Visualization using Matpotlib

Introduction to data visualization
Introduction to Matplotlib
Different types of visuals and their application
Object-oriented interface
Types of plots
Plotting with real-time data

Module 7: Machine Learning with Scikit Learn

Introduction to Scikit-learn
Introduction to Machine learning
Application of Machine Learning
Supervised and unsupervised Learning
Overview of regression
Classification based on Algorithms

Module 8: Final Capstone Project

You will develop an exhaustive project where you will incorporate all your learnings of Python for data science. At the end of this module, you should be able to work on industry-level projects with minimal assistance.

Module 9: Course Summary

This will be the session dedicated to answering all the queries that every student has. Additionally, we will summarize everything we learned in the course so far

What our Students have to say

Pratik and Omkar are extremely talented and knowledgeable trainers. I could learn the fundamentals of Power BI so well only because of them. They have provided outstanding support while I was giving interviews and were always available on call. Highly recommended if you are looking to switch to Power BI field