06:20

Adjusted R2

18:51

Regression Model Evaluation

06:40

Why SSE

07:52

Linear Regression - The MATHS

04:33

Errors in Linear Regression

06:58

Simple Linear Regression 2

07:01

Simple Linear Regression 1

08:43

ML Introduction 2

00:41

ML Introduction 1

05:22

Variable Types in Data Science/Stats

01:26:45

MyDC Webinar-16th Aug 'How to deal with Categorical variables in ML'

57:14

Data Science Life Cycle + Course Project

02:37:27

Day2 Intro to Python-Data Structures

02:27:01

Day1 Intro to Python

01:03:35

Data Science Using Python Batch 7 June19 Info Session 2

46:07

Data Science Using Python Batch 7 June19 Info Session 1

29:46

Student Counselling with MyDC Team- Harish

01:43:43

Day4 Central Limit Theorm & Intro to ML

02:47:02

Day3 Basic Statistics & Data Manipulation

24:34

One on One Counselling with Udit

19:27

Student Counselling with MyDC Data Scientist

03:50:58

Day2 DataManipulationPython

02:49:00

Day1 Introduction to Python Data Structures

47:20

Day0, Data Science in Python, Intro

07:20

Variable Importance Plot in RF

16:33

Random Forest Theory

15:27

Cross Validation ( LOOCV & K Fold)

11:18

Model Bias vs Variance

15:56

Decision tree Introduction 2

15:16

Decision Tree Introduction

03:06:35

Day1_5thMay2018_DataScience using Python

05:54

Z vsT test

11:11

ROC Curves in R

08:04

MyDC LMS

02:24

R Programming+ Statistics Course Intro

01:19

Why R

00:33

MyDataCafe Full Video

01:17

Why MyDataCafe?