Machine Learning Inception Program
A 4 Month Live Online and Mentorship Program for professionals to kickstart their journey in Machine LearningEnroll Now
Duration of the course
24th August, 2019
Live + Recorded
Mode of Teaching
7:00 PM (IST)
Sat and Sun Timings
Trusted by professionals
working at global companies
Why Most Professionals Struggle
to become a Data Scientist
Data Science is not just coding. You need to be good in skills like Statistics and Business acumen to be successful.
Lack of a mentor
An experienced Data Scientist who knows everything inside out and can guide you towards the right path.
Fast Evolving Domain
Breakthroughs are happening everyday and its hard to keep up with the newly changing trends.
How this program works
The 3 pillars of Inception
Weekend Live Sessions
4+ hours of Group live coaching every weekend (7:00 PM IST) where you can get your doubts solved instantly. Every session is also recorded and available to watch later.
QnA and Mentoring Sessions
1+ hour of dedicated group live session every week where we resolve your questions and groom you as a Data Scientist. Also priority chat support to resolve your doubts outside class hours.
Projects and Assesments
We will show you how to integrate Machine Learning and Software Engineering to make real tangible projects. And weekly quizzes and assignments will help you reach there.
How to enroll
and what is the cost
Introduction to Basic Programming
Introduction to Python
Intro to Linux Commands
SQL for Analytics
How to use Git
Introduction to Machine Learning
What is Machine learning?
Where to use Machine learning and How to use it efficiently?
Dissecting Machine learning
Getting Started with Supervised Learning
Introduction to Unsupervised Learning
The idea behind Regression
Intuition behind the model
Mathematical / Algorithmic working of the model
Parameters to tune - How to control the model.
SVM Based Regression
Tree Based Regression Techniques
Evaluating your model
Intro to Regression Model Evaluation
RMSE and MAE
Adjusted R Squared
Mini Project 1 based on Regression
Idea Behind Classification
Intuition behind the classifier
Mathematical / Algorithmic working of the classifier
Parameters to tune - How to control the classifier
K Nearest Neighbours
Tree Based Regression Techniques
Evaluating your classifier
Intro to Classification Model Evaluation
Precision and Recall
Gain and Lift Chart
ROC AUC Curve
Understanding the Precision and Recall Tradeoff
Project Work 2 based on Classification
Thinking Like a Data Scientist
How to prepare your data for Modelling
Data Feature Engineering
Building Strong Models using Ensembling
Introduction to ensembling and the Why behind it
Stochastic Gradient Boosting
What is Unsupervised Learning?
K Means Clustering
Project Work 3 based on Clustering
Capstone Project 1 with Deployment
Work on NYC Taxi Dataset
Model Deployment on AWS
Exploratory Data Processing
Model RefinementCapstone Project 2 with Deployment
Work on Stack Overflow Dataset
Major Concepts of NLP
Model Deployment on Google Cloud
Data I/O on Spark Clusters
Exploratory Data Processing
What projects you will build
and what data sets will be used
Auto tagging of the stack overflow questions using the stack overflow open dataset. Using Spark we will handle 200+ GB dataset and deploy on google cloud.
Ride Price optimisation based on NYC Taxi data and deployment of the full project on Google Cloud.
Using Bigmart's sales dataset predict product placement, inventory management, customized offers and product bundling
Use Classification to predict if the customer will claim medical insurance or not. If yes, what will be the amount.
Use clustering to handle evaluation form filled by students of a turkey university.
What's Special in these projects
which gives you an edge in the industry
The DatumGuy Advantage
Full Stack Machine learning Projects from experts
Work with Real world datasets
With data from NYC Taxi, Stack overflow and Kaggle, you are sure to work on dataset that you can proudly showcase in an interview.
Learn how to deploy your models
Now your ML models will not just be available on your system, we will also learn how to deploy them on cloud and work with other teams in your organizations.
Learn alongside everyone or Learn at your own pace
Recordings available of each live session
You have the opportunity to attend each session live or watch the recordings at your own pace.
Access to Exclusive Student Portal
Exclusive Student portal where every live video recordings will be broken down into furthur topics and posted.
Continuous Support and Mentorship
Weekly lIve QnA and Mentorship Sessions
We will have regular weekly Live QnA sessions where you will be able to ask any doubt regarding previous sessions. Also Mentorship sessions provide you with the right direction to achieve your career goals.
After Class Support
Chat and Facebook group support is available after class if you face any doubts and need to get it resolved immediately.
Resume Building and Career services
Resume and Online Profile Review
You will receive personal resume and LinkedIn profile review sessions to maximize your chances of getting the best opportunity.
What our students say
about our quality and support
Do I get a certificate
when I complete the whole course
Complete the full course with all assignments successfully to obtain this verified certificate from DatumGuy
Frequently Asked Questions
What if I miss a live session?
Though this is a live course, all sessions are recorded and forever available to watch at a later time. If you watch the session at a later time, you will be able to post your doubts in the facebook group at any time and our team will get your doubt resolved in no time.
What are the timings?
We have a global audience from countries like USA, UK, Egypt, Sri Lanka, India and many other countries in our course. To make sure the sessions happen at waking hours for our whole audience, the sessions starts in the evening IST, usually at 7PM and ends in 1.5 - 2 hours.
Is it a basic course?
It starts up from scratch and covers the basic concepts with prerequisites in the first weeks. Then the difficulty level builds up through the months to give you a strong foundation of Machine learning.