Free Course Download100% Free Direct MP4 LinksUdemyAI, Machine Learning & Data Science2022-11 Edition

Download Machine Learning Real World Case Studies | Hands-on Python Course for Free

Download the complete Machine Learning Real World Case Studies | Hands-on Python video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

73Lectures

54.6Total Hours

7212.5MB Total Size

MP4 / 1080p HD

Instructor: Senior Industry Specialist

English

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All Video Lectures Available to Download73 Videos

Direct high-speed MP4 downloads for every chapter.

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Utilize this oppurtunity , QnA section !!

MP4 HD2m•5.36 MB

Stream

How to follow this course-must watch

MP4 HD7m•16.27 MB

Stream

How to install Anaconda & Jupyter Notebook

MP4 HD11m•23.83 MB

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Intro !!

MP4 HD35m•75.99 MB

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Quick Summary of Jupyter Notebook

MP4 HD20m•43.39 MB

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Introduction to Problem Statement

MP4 HD21m•45.70 MB

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Understand the big Idea- how to collect data !

MP4 HD44m•97.08 MB

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How to Automate your code !

MP4 HD46m•102.20 MB

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Perform descriptive analysis on Data !

MP4 HD1h 1m•133.48 MB

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Perform Exploratory Data Analysis to understand Patterns

MP4 HD58m•126.62 MB

Stream

Analyse whether Google is Bias or not !

MP4 HD22m•48.57 MB

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Analysing distrbution of Ratings

MP4 HD30m•65.96 MB

Stream

Automate your data Visualisation code ..

MP4 HD1h 5m•143.33 MB

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Understand Hidden patterns from data..

MP4 HD37m•82.31 MB

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Perform Data Preparation for Analysing App Category

MP4 HD39m•85.73 MB

Stream

Analysing Android version of data

MP4 HD52m•114.18 MB

Stream

Lets Perform Data Cleaning..

MP4 HD48m•104.83 MB

Stream

Lets Clean & ready our Rating & Installs feature

MP4 HD49m•107.53 MB

Stream

Perform Feature Selection algorithms to select important features

MP4 HD34m•75.00 MB

Stream

How Feature selection works..

MP4 HD57m•126.32 MB

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What are outliers & how to find it..

MP4 HD45m•98.13 MB

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Perform Data-Preparation on Size Feature..

MP4 HD1h 12m•157.36 MB

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Outliers Detection using IQR..

MP4 HD55m•121.96 MB

Stream

How to Impute Outliers

MP4 HD33m•73.42 MB

Stream

Outlier Detection in Install feature

MP4 HD38m•83.47 MB

Stream

what is Data Transformation

MP4 HD50m•109.45 MB

Stream

What are Missing Values & how to fill Missing values

MP4 HD46m•101.97 MB

Stream

What is Data Discretization & how to apply it in real-world

MP4 HD45m•99.98 MB

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What is Mean Encoding & how to apply it in real world

MP4 HD55m•120.07 MB

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What is Target Guided Mean Encoding

MP4 HD31m•67.77 MB

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Intuition behind Logistic Regression-part 2

MP4 HD20m•44.15 MB

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Intuition behind Logistic Regression-part 1

MP4 HD26m•57.97 MB

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Applying Label Encoding & preparing your data for Data Modelling

MP4 HD43m•94.27 MB

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What is Label Encoding & how to apply it in real-world

MP4 HD59m•130.89 MB

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Intuition Behind Decision Trees - Part 1

MP4 HD18m•40.56 MB

Stream

Intuition Behind Decision Trees - Part 2

MP4 HD29m•63.15 MB

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Intuition Behind Decision Trees - Part 3

MP4 HD28m•60.68 MB

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Building Logistic Regression Model

MP4 HD52m•114.71 MB

Stream

Intuition Behind Decision Trees - Part 5

MP4 HD28m•62.14 MB

Stream

Intuition Behind Decision Trees - Part 4

MP4 HD33m•73.50 MB

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Intuition Behind Decision Trees - Part 6

MP4 HD18m•39.60 MB

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Intuition Behind Random Forest - Part 2

MP4 HD23m•50.78 MB

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Intuition Behind Random Forest - Part 1

MP4 HD35m•77.76 MB

Stream

Hypertune your Logistic Regression Model

MP4 HD41m•89.89 MB

Stream

Hypertune your Random Forest Model

MP4 HD54m•119.01 MB

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How to load data & fill missing values in data !

MP4 HD46m•100.36 MB

Stream

Fix Missing values of Data !

MP4 HD46m•101.37 MB

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How to fill Missing values using Random Value Imputation

MP4 HD59m•129.87 MB

Stream

Perform Wordcloud Analysis

MP4 HD1h 21m•178.09 MB

Stream

Lets Clean Description Feature

MP4 HD1h 24m•184.80 MB

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Perform Unigram , bigram & trigram analysis..

MP4 HD1h 3m•139.00 MB

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Perform GeoSpatial Analysis

MP4 HD29m•63.48 MB

Stream

Lets Prepare Description Feature using nltk !

MP4 HD1h 26m•190.29 MB

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Obtaining label distribution of data

MP4 HD22m•49.02 MB

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Imputing the outliers..

MP4 HD57m•126.04 MB

Stream

how to visualize outliers..

MP4 HD56m•123.89 MB

Stream

Perform In-depth analysis on data

MP4 HD55m•120.04 MB

Stream

Extract important features using Co-relation..

MP4 HD1h 7m•147.17 MB

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Most suitable Feature encoding technique In real-world

MP4 HD52m•115.22 MB

Stream

Lets pre-process our data for Feature Encoding..

MP4 HD59m•130.08 MB

Stream

Automate your Data Preparation stuffs !

MP4 HD55m•121.51 MB

Stream

What is Frequency Encoding & how to apply it in Real-World

MP4 HD58m•127.89 MB

Stream

Lets Build a Decision Tree Model

MP4 HD52m•113.82 MB

Stream

Playing with Multiple Algorithms..

MP4 HD47m•103.07 MB

Stream

Lets Hypertune our model..

MP4 HD1h 15m•165.71 MB

Stream

Lets Prepare our Data..

MP4 HD45m•98.49 MB

Stream

Finding co-relation values of a matrix..

MP4 HD51m•111.48 MB

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Define own function to understand our Data !

MP4 HD50m•110.05 MB

Stream

Perform In-Depth Analysis !

MP4 HD1h 11m•156.31 MB

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Finding relationship in data !

MP4 HD54m•119.15 MB

Stream

Data Preparation for Modelling !

MP4 HD23m•51.38 MB

Stream

Build a Machine learning Model..

MP4 HD40m•88.09 MB

Stream

Lets explore our data !

MP4 HD1h 17m•170.13 MB

Stream

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What You'll Master in this Free Download Course

How to use machine learning algorithms

How to tackle real-world challenges and how to present insights

Increase your skills in data science

And …

About this Free Download Course

Machine Learning Real World Case Studies | Hands-on Python is a training course on machine learning with Python published by Udemy Online Academy. Machine Learning in Python uses Python’s robust ecosystem of libraries and frameworks to develop, train, and deploy machine learning models. Python’s simplicity, readability, and broad support make it a desirable language for both beginners and experts in the field of machine learning. Python enables the implementation of various machine learning algorithms and facilitates tasks such as data preprocessing, model training, evaluation, and deployment. Python’s rich ecosystem of libraries and frameworks makes it an ideal choice for data scientists and machine learning engineers to perform tasks ranging from data preprocessing to advanced deep learning.Its simplicity, broad support, and versatility ensure that professionals can develop robust models and gain meaningful insights, driving innovation and informed decision-making across industries. The aim of this course is to provide knowledge about key aspects of data science applications in business in a practical, easy and fun way. This course provides students with hands-on hands-on experience using real-world datasets. This course is recommended for data scientists who want to apply their knowledge to real-world case studies.

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