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Memorize This Color Sequence Challenge: Can You Keep Up?

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27:02

hangman game

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35:27

Why Python ? The basic INTRO

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1:00:46

Decision Tree(ML) Part 1

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42:09

Decision Tree Part 2

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52:02

Working on Analog Arduino Signals - 3

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35:45

Modules - Time, Datetime and Calendar

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33:17

Working with Digital Signal Arduino + Tinkercad -2

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1:06:14

k Nearest Neighbor classification

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1:00:43

Introduction to Arduino - 1

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1:09:18

k means clustering - ML

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47:50

RNN and LSTM Model and its Application

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1:12:14

Introduction to PYTHON + Installation

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25:20

Day -20 Application of LSTM

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1:06:10

Day - 19 CNN Implementation and LSTM Overview

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1:01:24

Day 18 Applying Neural Network on MNIST dataset , Introduction to CNN

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1:11:08

Day 17 - Introduction to TensorFlow (Keras)

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56:08

Day - 16 Introduction to Deep Learning, Neural Network(ANN)

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1:17:50

Day - 15 Time Series Analysis (ARIMA & SARIMA)

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50:16

Day - 14 Open CV

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35:39

Day 13 - Haarcascade face detection

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1:07:43

Day 12 - Face Detection with ORL dataset

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1:16:42

Day - 11 Support Vector Machine

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1:04:21

Day -10 Linear Regression , R^2 , Multicollinearity

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42:17

Day 9 - Linear Regression

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1:06:05

Day 8 - Introduction to Statistics , Skewness

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1:01:50

Day - 7 Intro to Machine Learning

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59:18

Day-6 WSN (Wireless Sensor Network)

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55:18

Day - 5 : K Means from Scratch

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1:16:08

Day - 4 Pandas Data Manipulation

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1:16:20

Day 3 Numpy and Matplotlib

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1:28:58

String, List, Tuple, Loops and Functions - DAY 2

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1:58:24

Introduction to Python DAY-1

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0:45

Portable Cooler

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