datascience

Data Science Bootcamp – Week#4 Day 2: Practice Problems…

Hello Passionate Learners, Now that we started building models and as well learnt how to optimize them. We also know how to evaluate them. Well,...
Manish KC
41 sec read

A beginner’s guide to Linear Regression in Python with…

There are two types of supervised machine learning algorithms: Regression and classification. The former predicts continuous value outputs while the latter predicts discrete outputs....
Nagesh Singh Chauhan
9 min read

Session: Introduction to Linear Regression & Types of ML…

This is another interesting session for absolute beginners and beginners to take them one step ahead in their learning journey! Speaker – Tan Li...
DPhi
30 sec read

Session: How to Build a Predictive Model in R…

Speaker: Mr Ramanathan R | Duration : 1-1.5 hrs Schedule: 12th June, 8: 30 PM IST (please locate in your timezone here) Register Now...
DPhi
40 sec read

Session on Building Your First Machine Learning Model

Building Your First Machine Learning Model session will be taken by non other than our own Chanukya Patnaik! The fact that Chanukya comes from...
DPhi
18 sec read

Data Science Bootcamp – Week#2 Day 5 – Session…

Hello Learners, I am excited to share that Professor. Julian Miranda (Coach), will deliver a session on Exploratory Data Analysis using Cyber Security real-world...
Chanukya Patnaik
47 sec read

Data Science Bootcamp – Day #18 – Session on…

Today, we have Bharat Ram (Head of Data Science, Complidata), who will be delivering a session on Data pre-processing and handling missing values using Credit Card Fraud...
Chanukya Patnaik
21 sec read

Data Science Bootcamp – Day #15 – Distribution, Skewness…

Hello learners! Let’s broaden our statistics knowledge and learn about Distribution and Skewness today. There are a number of distributions in statistics but we’ll...
Gunnika Batra
33 sec read

Data Science Bootcamp – Week #2 Day 3 –…

Hello Passionate Learners! In this module we will be learning about Basics Statistics and Exploratory Data Analysis (EDA). Learning objective:1. Distribution2. Skewness3. Practice Data...
Manish KC
13 sec read

Data Science Bootcamp – Day #14 – Linear Algebra…

Today, let’s learn about linear algebra and basic statistics that form the building blocks of machine learning algorithms. Well, there is no need to...
Chanukya Patnaik
49 sec read