Data Science With Python

Master Data Science with Python

Start from basics, become a industry ready data scientist!

Instructors

Manu S Pillai

₹ 13,999

Summary

Data Science is one of the hottest fields of the 21st century. It is in high demand across the globe with bigwigs like Amazon, Google, Microsoft paying handsome salaries and perks to data scientists. This course aims to provide you with a great kick-start in your data science journey.

Highlights

Learning fundamentals like Python Basics, Data Visualization, Data Scraping
Building Web Scrappers using Scrapy, Data Cleaning
Applying various Machine Learning algorithms like Linear Regression, Logistic Regression, Decision Trees, Naive Bayes, Principal Component Analysis, Feature Engineering, T-SNE Visualizations, Deep Learning & Reinforcement Learning for video games.
The complete course is very practical and would ensure you do sufficient hands-on practice on the concepts taught by solving assignments and challenges.

Pre-requisites

There are no pre-requisites to join this course.

Lecture Schedule

Tues, Sat and Sun

7:00 PM - 10:00 PM

Lecture 01

Data Science Quickstart Mode

Lecture 02

Introduction to Python, Conditions, Loops and functions

Lecture 03

String and other inbuilt data structures

Lecture 04

Files Handling

Lecture 05

Numpy, Matplotlib, Pandas

Lecture 06

Simple Linear Regression

Lecture 07

Multiple Linear Regression

Lecture 08

Logistic Regression

Lecture 09

KNN and related Classification

Lecture 10

Face Detection + Face Recognition

Lecture 11

Project Discussion

Lecture 12

K-Means and related clustering

Lecture 13

NLTK and Naïve Bayes

Lecture 14

Decision tree

Lecture 15

Ensemble Learning

Lecture 16

Stats and Probability

Lecture 17

Exploratory data analysis with Pandas

Lecture 18

Principle component Analysis (PCA)

Lecture 19

Support Vector Machines

Lecture 20

Markov Chains

Lecture 21

web api and Web Scraping

Lecture 22

Recommender Systems

Lecture 23

Project Discussion

Lecture 24

Intro to Neural Net and TensorFlow

Lecture 25

First DNN with Keras

Lecture 26

Neural Nets from Scratch

Lecture 27

CNN

Lecture 28

CNN Architectures

Lecture 29

Transfer Learning

Lecture 30

Project Discussion

Lecture 31

Auto Encoders

Lecture 32

Recurrent and Sequence Models

Lecture 33

Generative adversarial networks

Lecture 34

Model Deployment using Flask and Heroku

Lecture 35

Time Series - Averages, Smoothening, AR Models

Lecture 36

Yolo for Object Detection

Lecture 37

Attention Models

Lecture 38

Image Captioning

Lecture 39

Kaggling

Lecture 40

Project Discussion

Lecture 41

Intro to Reinforcement learning

About Mentors

Manu S Pillai

mohit.uniyal@codingblocks.com

Manu is a Deep Learning Researcher and an avid python programmer. He has multiple research papers published in international conferences and journals. His interest lies in Computer Vision and is currently doing independant research in the same domain. He has also won multiple hackathons including Smart Odisha Hackathon and was awarded by the Chief Minister ot Odisha, Shri Naveen Patnaik. He can be found at www.manuspillai.in.

Opportunities unlocked for learner

You will learn one of the hottest fields of the 21st century and will get a Kickass Kickstart.Will be able to build Web Scrapers, Data Cleaning with python fundamentals.Will be able to apply various Machine Learning algorithms like Linear Regression, Logistic Regression, Decision Trees, Naive Bayes, Principal Component Analysis, Feature Engineering, T-SNE Visualizations, Deep Learning & Reinforcement Learning for video games.

Hands on Projects and Problems:

Web Crawler - will be able to build Spiders using Scrapy for Amazon, PepperFry etc.Pokedex- Will be able to classify Pokemons using Transfer Learning. Emoji Predictor - Will be able to predict emojis using Recurrent Neural Networks.Many More- Face Recognition,Odd One Out, Titanic Survivor Prediction,Handwritten Digit Recognition, Language Generator.

Why choose CB Live:

Two-way Interaction: Share screen with your mentor for any doubt resolution 24*7.Placement Support: From Interview recommendations to placement, we are there for you at every step.Get into Bigwigs: Our expert will help you crack interviews for Amazon, Microsoft, Apple, Google, and Facebook.

This course is essential for you:

Who has familiarity and ability to write code in any programming language.Who wants to work with bigwigs like Amazon, Google, Microsoft paying handsome salaries.Who wants to learn Data Analysis, Manipulation, and Visualization

Land your dream job

Making you ready for grade A companies

Anshul Mittal

Coding Blocks helped in gaining enough experience to get internships at giants like Google and Rubrik.

Sidharth Bansal

Hii I am Sidharth Bansal from Delhi technology university. I have done competitive boot camp from coding blocks. This gave me a great exposure to problem solving mindset.

Samarth Jain

My journey in the world of Competitive Programming started with the Bootcamp at Coding Blocks, which turned out to be a changing point in my life. The immense amount of knowledge I got during the course did not only develop my interest but also made me pursue this field later. A special thanks to Shubham bhaiya, Mayank bhaiya and Prateek bhaiya for being the guiding lights in my journey and always motivating us to follow our passion!

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