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COMPLETE  DATA SCIENCE MASTERY BOOTCAMP

COMPLETE DATA SCIENCE MASTERY BOOTCAMP

Courses

September 27 | 6AM - February 28 | 6PM

Online

₹21417

Sorry, this show is already over but head here for other fun events!

Event Guide

Digital Event

Online

For Age(s)

18+

Language

English

Masterclass

Learn from an expert

Invite your friends

and enjoy a shared experience

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COMPLETE DATA SCIENCE MASTERY BOOTCAMP

Courses

September 27 | 6AM - February 28 | 6PM

Online

₹21417

Sorry, this show is already over but head here for other fun events!

Event Guide

Digital Event

Online

For Age(s)

18+

Language

English

Masterclass

Learn from an expert

Invite your friends

and enjoy a shared experience

Event Guide

Digital Event

Online

For Age(s)

18+

Language

English

Masterclass

Learn from an expert

Invite your friends

and enjoy a shared experience

About the Event

Learn Data Science and Machine Learning from scratch doing 50+ real-time hands-on experience-based Projects, get hired, and have fun along the way with the most modern, up-to-date Data Science course (we use the latest version of Python, TensorFlow 2.0 and other libraries). We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere.


About Organization: Imbuedesk Educational Networking Solutions Private Limited, ISO 9001:2015 Certified, Start-Up India, CSI, MSME ,NSP Registered company is conducting a "COMPLETE DATA SCIENCE MASTERY BOOTCAMP" to upskill students and employees in DATA SCIENCE to help them advance in their careers.


A Complete Data Science with Deep Learning, Neural Networks, Machine Learning Models, NLP, Computer Vision models, Artificial Intelligence, Reinforcement Learning, REST APIs, Databases (SQL, MongoDB), Docker, GIT, AWS Integrations and lot more.

This comprehensive and project based bootcamp will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real-world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on GitHub, so that you can put them on your portfolio right away! We believe this bootcamp solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want.


Benefits:

1. 160+ Hours of Live Training (1.5 Hours a day)

2. 500+ Hours of Practice + Assignments to master from Basics to Advance

3. 5 Months Bootcamp

4. 2-3 Months Experienced based works (Internships/Part-time/Freelance)

5. Experience Letter + Certification from ImbueDesk ENS Pvt Ltd (ISO 9001:2015, MSME Registered, CSI Recognized, Start-up India recognized company)

6. 50+ real-time hands-on experience-based Projects to work on

7. A Complete Data Science with Deep Learning, Neural Networks, Machine Learning Models, NLP, Computer Vision models, Artificial Intelligence, Reinforcement Learning, REST APIs, Databases (SQL, MongoDB), Docker, GIT, AWS Integrations and lot more.


We cover a large number of important data science and machine learning topics, such as:

• Data Cleaning and Pre-Processing

• Data Exploration and Visualisation

• Linear Regression

• Multivariable Regression

• Optimisation Algorithms and Gradient Descent

• Naive Bayes Classification

• Descriptive Statistics and Probability Theory

• Neural Networks and Deep Learning

• Model Evaluation and Analysis

• Serving a TensorFlow Model

• NLP

• Neural Networks, Deep Learning models like ANNs, CNNs, RNNs, SSD, GANs

• Artificial Intelligence using Reinforcement Learning

• REST API Creation for ML Models, Deep Learning Models, Computer Vision Models

• Databases like SQL, MongoDB

• Integrating models using Docker, GitHub, AWS Cloud Platform


Python programming concepts:

• Data Types and Variables

• String Manipulation

• Functions

• Objects

• Lists, Tuples and Dictionaries

• Loops and Iterators

• Conditionals and Control Flow

• Generator Functions

• Context Managers and Name Scoping

• Error Handling


Pandas:

• Section Overview

• Downloading Workbooks and Assignments

• Pandas Introduction

• Series, Data Frames and CSVs

• Data from URLs

• Describing Data with Pandas

• Selecting and Viewing Data with Pandas

• Selecting and Viewing Data with Pandas Part 2

• Manipulating Data

• Manipulating Data 2

• Manipulating Data 3

• Assignment: Pandas Practice


Numpy:

• NumPy Introduction

• Quick Note: Correction In Next Video

• NumPy Datatypes and Attributes

• Creating NumPy Arrays

• NumPy Random Seed

• Viewing Arrays and Matrices

• Manipulating Arrays

• Manipulating Arrays 2

• Standard Deviation and Variance

• Reshape and Transpose

• Dot Product vs Element Wise

• Exercise: Store Sales

• Comparison Operators

• Sorting Arrays

• Turn Images Into NumPy Arrays


Matplotlib:

• Section Overview

• Matplotlib Introduction

• Importing And Using Matplotlib

• Anatomy Of A Matplotlib Figure

• Scatter Plot And Bar Plot

• Histograms And Subplots

• Subplots Option 2

• Quick Tip: Data Visualizations

• Plotting From Pandas DataFrame

• Quick Note: Regular Expressions

• Plotting From Pandas DataFrame 2

• Plotting from Pandas DataFrame 3

• Plotting from Pandas DataFrame 4

• Plotting from Pandas DataFrame 5

• Plotting from Pandas DataFrame 6

• Plotting from Pandas DataFrame 7

• Customizing Your Plots

• Customizing Your Plots 2

• Saving And Sharing Your Plots


Machine Learning Classifier and Regressor Models:

• Section Overview

• Scikit-learn Introduction

• Refresher: What Is Machine Learning?

• Scikit-learn Cheat sheet

• Typical scikit-learn Workflow

• Debugging Warnings InJupyter

• Getting Your Data Ready: Splitting Your Data

• How to: Clean, Transform, Reduce

• Getting Your Data Ready: Convert Data To Numbers

• Getting Your Data Ready: Handling Missing Values With Pandas

• Extension: Feature Scaling

• Getting Your Data Ready: Handling Missing Values With Scikit-learn

• Choosing The Right Model For Your Data

• Choosing The Right Model For Your Data 2 (Regression)

• Decision Trees

• How ML Algorithms Work

• Choosing The Right Model For Your Data 3 (Classification)

• Fitting A Model To The Data

• Making Predictions With Our Model

• predict() vs predict_proba()

• Making Predictions With Our Model (Regression)

• Evaluating A Machine Learning Model (Score)

• Evaluating A Machine Learning Model 2 (Cross Validation)

• Evaluating A Classification Model 1 (Accuracy)

• Evaluating A Classification Model 2 (ROC Curve)

• Evaluating A Classification Model 3 (ROC Curve)

• Reading Extension: ROC Curve + AUC

• Evaluating A Classification Model 4 (Confusion Matrix)

• Evaluating A Classification Model 5 (Confusion Matrix)

• Evaluating A Classification Model 6 (Classification Report)

• Evaluating A Regression Model 1 (R2 Score)

• Evaluating A Regression Model 2 (MAE)

• Evaluating A Regression Model 3 (MSE)

• Machine Learning Model Evaluation

• Evaluating A Model With Cross Validation and Scoring Parameter

• Evaluating A Model With Scikit-learn Functions

• Improving A Machine Learning Model

• Tuning Hyperparameters

• Metric Comparison Improvement

• Correlation Analysis

• Saving And Loading A Model

• Putting It All Together

• Scikit-Learn Practice

• Project: Supervised Learning (classification)

• Project: Supervised Learning (Time Series Model)


Artificial Neural Networks (ANNs)

• Project: Multiclass image classification with ANN

• Project: Binary Data Classification with ANN


Convolutional Neural Networks (CNNs)

• Project: Object Recognition in Images with CNN

• Project: Binary Image Classification with CNN

• Project: Digit Recognition with CNN

• Project: Breast Cancer Detection with CNN

• Project: Predicting the Bank Customer Satisfaction

• Project: Credit Card Fraud Detection with CNN


Recurrent Neural Networks (RNNs)

• Project: IMDB Review Classification with RNN - LSTM

• Project: Multiclass Image Classification with RNN - LSTM

• Project: Google Stock Price Prediction with RNN and LSTM


Transfer Learning


Natural Language Processing

• Basics of Natural Language Processing

• Project: Movie Review Classification with NLTK


Deep Learning Computer Visionâ„¢ CNN, OpenCV, YOLO, SSD & GANs:

• Learn by completing 26 advanced computer vision projects including Emotion, Age & Gender Classification, London Underground Sign Detection, Monkey Breed, Flowers, Fruits , Simpsons Characters and many more!

• Advanced Deep Learning Computer Vision Techniques such as Transfer Learning and using pre-trained models (VGG, MobileNet, InceptionV3, ResNet50) on ImageNet and re-create popular CNNs such as AlexNet, LeNet, VGG and U-Net.

• Understand how Neural Networks, Convolutional Neural Networks, R-CNNs , SSDs, YOLO & GANs with my easy to follow explanations

• Become familiar with other frameworks (PyTorch, Caffe, MXNET, CV APIs), Cloud GPUs and get an overview of the Computer Vision World

• How to use the Python library Keras to build complex Deep Learning Networks (using Tensorflow backend)

• How to do Neural Style Transfer, DeepDream and use GANs to Age Faces up to 60+

• How to create, label, annotate, train your own Image Datasets, perfect for University Projects and Start-ups

• How to use OpenCV with a FREE Optional course with almost 4 hours of video

• How to use CNNs like U-Net to perform Image Segmentation which is extremely useful in Medical Imaging application

• How to use TensorFlow's Object Detection API and Create A Custom Object Detector in YOLO

• Facial Recognition with VGGFace

• Use Cloud GPUs on PaperSpace for 100X Speed Increase vs CPU

• Build a Computer Vision API and Web App and host it on AWS using an EC2 Instance


Artificial Intelligence: Reinforcement Learning

• The multi-armed bandit problem and the explore-exploit dilemma

• Ways to calculate means and moving averages and their relationship to stochastic gradient descent

• Markov Decision Processes (MDPs)

• Dynamic Programming

• Monte Carlo

• Temporal Difference (TD) Learning (Q-Learning and SARSA)

• Approximation Methods (i.e. how to plug in a deep neural network or other differentiable model into your RL algorithm)

• How to use OpenAI Gym, with zero code changes

• Project: Apply Q-Learning to build a stock trading bot


Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps:

• Understanding the Basics of the Python Flask Framework

• Understanding and Implementing a REST API

• Docker

• SQL, MongoDB

• Project: Database as a Service Restful API

• Project: Building a Restful API for similarity check using Natural Language Processing

• Project: Building an Image Recognition Restful API using TensorFlow and Deep Learning

• Project: Building a Restful API to Handle Bank Transactions

• Deploying Restful API into an AWS EC2 Instance


Requirements:

• No programming experience needed! we'll teach you everything you need to know.

• No statistics knowledge required! we’ll teach you everything you need to know.

• No calculus knowledge required! as long as you've done some high school maths, we'll take you step by step through the difficult parts.

• Also, no paid software required - all projects use free and open source software

• All you need is Mac or PC computer with access to the internet




Timings:

6a.m. – 8a.m. Indian Standard Time (+5.30 Greenwich Time) (Weekdays)

or

3 p.m. – 5 p.m. Indian Standard Time (+5.30 Greenwich Time) (Weekdays)

or

7 p.m. – 9 p.m. Indian Standard Time (+5.30 Greenwich Time) (Weekdays)

or

6 a.m. – 10 a.m. Indian Standard Time (+5.30 Greenwich Time) (Weekends, Saturday + Sunday)

And

Doubt Clearing Sessions on every Sunday 8 p.m. – 10 p.m. + Community help during remaining days (from our experts and other student members through our discord channel)


Dates:

September 27th, 2021 Onwards (Weekdays batch Starts)

October 2nd, 2021 onwards (Weekend batch Starts)

Pricing:

INR 21,417/- per admit.

(Only 65 people per batch)



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COMPLETE DATA SCIENCE MASTERY BOOTCAMP

Courses

September 27 | 6AM - February 28 | 6PM

Online

₹21417

Sorry, this show is already over but head here for other fun events!

Event Guide

Digital Event

Online

For Age(s)

18+

Language

English

Masterclass

Learn from an expert

Invite your friends

and enjoy a shared experience

₹21417

Sorry, this show is already over but head here for other fun events!

HIT PAUSE ON BOREDOM

Kickstart your resolution to party hard. Experience LIVE music, comedy, poetry, theatre, sports & so much more…

Watch and cheer for your favourite teams, Discover new hobbies with workshops & courses And Groove to the beats of your favourite artists.

Curated & Handpicked Events

Paytm Insider aims to give you experiences in Online worth your time and money, and hopefully, encourage you to try something new. Be it curing post-work blues or making your weekend (more) awesome, you'll find it here. Explore live events (music, comedy, theatre, art); dining experiences; weekend getaways (treks, adventure, tours, travel, cycling, amusement parks); and live sport (cricket, football, kabaddi, badminton) matches; workshops (photography, marketing, cooking, baking, painting) and more.

Music Events: Gigs & Festivals

Calling all music lovers! Watch your favourite artists, live - at festivals, club shows, gigs or concerts. Paytm Insider has the best curated music events, across genres: rock, metal, EDM, pop, fusion, hip-hop, jazz, classical, Bollywood and world, at some of the best live music venues in the country. Paytm Insider hosts several top properties, including Bacardi NH7 Weekender, Timeout, SulaFest, Mood Indigo, Gaana Crossblade Music Festival, Locals DISTRICT, Lager n Barrel, MPower Fest. Also look forward to superstars like Arijit Singh & AR Rahman hosting their tours here.

Comedy shows: Standup & Open Mic

Who doesn't enjoy a good laugh? You'll find the latest shows by the best Indian comedians - Zakir Khan, Kanan Gill, Biswa Kalyan Rath, Kenny Sebastian, Comicstaan finalists (Nishant Suri, Rahul Dua & others) and more, on Paytm Insider. Catch them doing tours of their specials, trying new material, hosting an open mic, and more. Catch the big names of comedy at Headliners and LOLStars; or shows to see up-and-coming comics enthrall audiences, and open mic events where you'll see and cheer on fresh talent! International legends like Russel Peters, Eddie Izzard & Bill Burr have ticketed here in the past.

Cheer Your Favourite Sports Team!

Paytm Insider is home to world-class sporting experiences across India: Vivo Indian Premier League, Indian Super League (FC Goa, Kerala Blasters, Jamshedpur FC, Mumbai City FC, Delhi Dynamos), Vivo Pro Kabaddi (Tamil Thalaivas, U Mumba, Haryana Steelers, Bengal Warriors, Jaipur Pink Panthers), I-League, Vodafone Premier Badminton League, Premier Futsal, and international cricket matches (Test, T20 and ODI). Can't get to a stadium? You'll find amazing screening experiences too - especially the EPL, Champions League and F1.

Trekking, Camping & Adventure

After a tiring week, one of the best ways to unwind is to head to the great outdoors. You will find excellent options for trekking, camping & adventure activities like white water rafting, waterfall rappelling and paragliding near Online. Paytm Insider teams up with experienced and responsible travel groups and event organizers so you have a memorable and safe experience. These events are for novices as well as experienced folks. You will also find special seasonal experiences like fireflies, camping, rafting and more on Paytm Insider.

Discover your city with Paytm Insider

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Paytm Insider

Paytm Insider is a platform that helps you discover and buy the best in events, travel and food in your city. We strive to curate experiences that are worth your time and money, possibly something you have never tried before.

For event organizers

Paytm Insider is built by the same team that created Bacardi NH7 Weekender (us) and we sure know what goes into putting together a great experience. Our technology, marketing and customer support can help you build a community of not just ticket buyers, but also fans.

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