Machine Learning in Python

Open the doors to a very exciting and most popular fields of Machine Learning.

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(1570 Ratings)

This course will introduce you to a very exciting and highly popular Machine Learning. You'll get applied experience in major areas of Machine Learning which include Prediction, Classification, Clustering and Information Retrieval. Learn to analyze large & complex datasets, build systems that adapt and improve over a period of time, and develop smart applications to make predictions from data.

WHAT YOU’LL LEARN

Importance of Python

Describe the basics of the Python programming language

Install Python and write your first program

Use variables and constants to store, retrieve and calculate information

Utilize core programming tools such as functions and loops

Accomplish multi-step tasks like sorting or looping using tuples

Create programs that are able to read and write data from files

Store data as key/value pairs using Python dictionaries

Using Scikit Learn in Machine Learning Techniques like Regression, Classification, Clustering, Recommender Systems

Doing basic project in Python

Select and process the data

Process data using Graphs Library in Python

Creating capstone project on Machine Learning using TensorFlow in Python

Usage of Python Libraries

Live Classes

  • INTRODUCTION TO COURSE 00:09:14
  • INTRODUCTION TO ML 00:08:33
  • DIFFERENCE BETWEEN AI ML DEEP LEARNING 00:04:07
  • PYTHON LIBRARIES IN MACHINE LEARNING 00:04:51
  • SUPERVISED AND UNSUPERVISED LEARNING 00:05:46
  • INTRODUCTION TO MACHINE LEARNING QUIZ 00:00:00

  • WHAT IS REGRESSION? 00:03:05
  • REGRESSION MODELS 00:06:35
  • LINEAR REGRESSION 00:03:54
  • LINEAR REGRESSION MODELS SLOPES AND INTERCEPT 00:04:55
  • LINEAR REGRESSION SKLEARN CODING 00:09:38
  • LINEAR REGRESSION SKLEARN CODE
  • LINEAR REGRESSION SKLEARN CODE EXPLAINED 00:22:11
  • LINEAR REGRESSION ERRORS 00:02:33
  • RSQUARED 00:04:53
  • MULTIPLE LINEAR REGRESSION 00:04:08
  • POLYNOMIAL AND NON LINEAR REGRESSION 00:04:00
  • REGRESSION QUIZ 00:00:00

  • ABOUT CLASSIFICATION 00:07:06
  • KNN 00:06:55
  • WORKING WITH KNN 00:02:38
  • EVALUATION METRICS 00:03:12
  • DECISION TREES 00:05:36
  • SVM 00:07:19
  • RANDOM FOREST TUTORIAL 00:14:57
  • CLASSIFICATION QUIZ 00:00:00

  • WHAT IS CLUSTERING? 00:06:34
  • CLUSTERING VS CLASSIFICATIONS 00:07:07
  • KMEANS CLUSTERING 00:08:01
  • CLUSTERING QUIZ 00:00:00

  • RECOMMENDER SYSTEMS 00:06:43
  • CONTENT BASED RECOMMENDER SYSTEMS 00:06:31
  • COLLABORATIVE FILTERING 00:06:03
  • RECOMMENDER SYSTEMS QUIZ 00:00:00

  • PYTHON BEGINNER PROJECT 00:05:00
  • PROJECT IMPLEMENTATION 00:07:38
  • PROJECT CODE

  • PYTHON LIBRARIES INTRODUCTION 00:06:07
  • PLOTTING 3D PLOTS & LINES 00:06:05
  • 3D PLOTS SURFACE TRIANGULATION 00:07:38
  • 3D PLOT CODE

  • INTRO TO MACHINE LEARNING 00:03:11
  • UNDERSTANDING FLOW CHART 00:06:01
  • TRAINING AND TESTING THE NETWORK WITH TENSORFLOW AND KERAS 00:11:01
  • Deep Learning with Tensorflow and Keras Code
  • FINAL PYTHON QUIZ 00:00:00
  • MACHINE LEARNING ASSIGNMENT 00:00:00

  • MACHINE LEARNING LIVE PROJECT 00:00:00

  • BREAST CANCER PREDICTION LOGISTIC REGRESSION 00:43:32
  • SPAM MAIL PREDICTION 00:33:38

  • INTRODUCTION TO ML WORKFLOW 00:06:56
  • MODEL SELECTION 00:11:17
  • OVERFITTING 00:08:50
  • UNDERFITTING 00:06:53
  • BIAS VARIANCE TRADE OFF 00:09:52
  • DIMENSIONALITY REDUCTION 00:07:47
  • GRADIENT DECENT 00:05:02

  • ML Model deployment using Flask 00:11:55

  • GITHUB TUTORIAL 00:08:11

About the instructor

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Machine Learning in Python

$152.00 304.00
₹11,150.00 22,300.00

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  • 59 Lessons
  • 00:00:00 Hours On demand videos
  • Lifetime Video Access
  • Certificate of Completion
  • Approx. 3 Months to Complete
  • Live Classes
  • Quizzes and Assignments
  • No Prior Experience Required
  • Top 50 Interview Question
  • Resume Building