Master Data Science with Python
Start from basics, become a industry ready data scientist!
Instructors

Manu S Pillai

₹ 13,999

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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.
  • Note - Data Science Master Course also includes Live Machine Learning Master Course.

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

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Making you ready for grade A companies