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The objective of this course is to give you the basic understanding of Python programming required for Machine Learning.

I will cover the topics related to Pandas, Numpy, Matplotlib, sklearn, seaborn, matplotlib, Linear Regression, Logistic Regression

The videos covered in this Channel is like the alphabets of the Machine Learning.

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Joined December 3, 2017

1,180,153 total views

India

Featured video

Machine Learning with Python | How to Create Pandas Dataframe | Operations with Pandas Dataset - P1

23,407 views

8y ago

Videos

Python 3 Basics # 16.2 | How to print Subscript and Superscript with Python

Python 3 Basics # 16.2 | How to print Subscript and Superscript with Python

4,700 views

4y ago

How to load and run python .py files in jupyter notebook?

How to load and run python .py files in jupyter notebook?

43,000 views

4y ago

Python 3 Basics # 3.4 | How to check empty string in Python

Python 3 Basics # 3.4 | How to check empty string in Python

1,300 views

4y ago

Python 3 Basics # 11.3 | Python List Comprehensions

Python 3 Basics # 11.3 | Python List Comprehensions

219 views

4y ago

How to use Jupyter Notebook nbextension plugins to Hide Menu, Hide Cells?

How to use Jupyter Notebook nbextension plugins to Hide Menu, Hide Cells?

6,500 views

4y ago

How to Install and Uninstall nbextension in Jupyter Notebook?

How to Install and Uninstall nbextension in Jupyter Notebook?

16,000 views

4y ago

Python 3 Basics # 4.3 | How to reverse Python Lists?

Python 3 Basics # 4.3 | How to reverse Python Lists?

323 views

4y ago

Python 3 Basics # 4.2 | How to add all the elements of a Python List?

Python 3 Basics # 4.2 | How to add all the elements of a Python List?

392 views

4y ago

Python 3 Basics # 4.1 | How to multiply all the elements of a Python List?

Python 3 Basics # 4.1 | How to multiply all the elements of a Python List?

1,100 views

4y ago

Python 3 Basics # 11.4 : How to check whether an Object is Iterable in Python

Python 3 Basics # 11.4 : How to check whether an Object is Iterable in Python

328 views

4y ago

How to Change Default Browser of Jupyter Notebook in Windows?

How to Change Default Browser of Jupyter Notebook in Windows?

57,000 views

4y ago

Python 3 Basics # 1.0.1 | Python Print Function Parameters

Python 3 Basics # 1.0.1 | Python Print Function Parameters

6,700 views

4y ago

Data Preproessing in Machine Learning, Data Science

Confusion Matrix in Machine Learning, ML, AI

Anaconda | Python Installation | Spyder | Jupyter Notebook | PyCharm | Graphviz

Data Visualisation with Python, Matplotlib, Seaborn

Detect Outliers in Machine Learning

Drop and Delete Operations in Python Pandas

Label Encoding, One hot Encoding, Dummy Encoding in Machine Learning

Handling Missing Values in Machine Learning

Interview Question for Machine Learning, Data Science, Regression, Classification, Pandas, Statistics

Linear Regression | Supervised Machine Learning

Cross Validation | Sampling | train test split in Machine Learning

Leave One Out Cross Validation in Machine Learning | LOOCV

Leave One Out Cross Validation in Machine Learning | LOOCV

5,800 views

6y ago

Machine Learning | Hold Out Cross Validation | Sampling | Train Test Split | AI | train_test_split

Machine Learning | Hold Out Cross Validation | Sampling | Train Test Split | AI | train_test_split

6,200 views

8y ago

Hold Out Cross Validation in Machine Learning using train_test_split

Hold Out Cross Validation in Machine Learning using train_test_split

4,100 views

6y ago

Machine Learning | Train Test Split in Cross Validation using Pandas and Numpy

Machine Learning | Train Test Split in Cross Validation using Pandas and Numpy

4,800 views

6y ago

Machine Learning | Train Test Split in Cross Validation using Numpy

Machine Learning | Train Test Split in Cross Validation using Numpy

3,300 views

6y ago

Machine Learning | Cross Validation | Random State in Train Test Split | ML | AI

Machine Learning | Cross Validation | Random State in Train Test Split | ML | AI

9,300 views

8y ago

Machine Learning | Stratify Parameter in train_test_split | Cross Validation

Machine Learning | Stratify Parameter in train_test_split | Cross Validation

9,900 views

8y ago

Shuffle parameter in train_test_split | Shuffle parameter | Cross Validation | Machine Learning

Shuffle parameter in train_test_split | Shuffle parameter | Cross Validation | Machine Learning

3,500 views

7y ago

KFold Cross Validation using Scikit Learn | Best Model | KFold from sklearn.cross_validation

KFold Cross Validation using Scikit Learn | Best Model | KFold from sklearn.cross_validation

2,200 views

7y ago

KFold Cross Validation using Scikit Learn | Best Model | KFold from sklearn.model_selection

KFold Cross Validation using Scikit Learn | Best Model | KFold from sklearn.model_selection

3,500 views

7y ago

Machine Learning | KFold Cross Validation using sklearn.model_selection

Machine Learning | KFold Cross Validation using sklearn.model_selection

3,900 views

6y ago

ML | Cross Validation | How to visualise KFold Cross Validation using Python and Matplotlib

ML | Cross Validation | How to visualise KFold Cross Validation using Python and Matplotlib

2,300 views

5y ago

Confusion Matrix in Machine Learning, ML, AI

Confusion Matrix | ML | True Positive | True Negative | False Positive | False Negative - P1

Confusion Matrix | ML | True Positive | True Negative | False Positive | False Negative - P1

31,000 views

6y ago

Confusion Matrix | ML | AI | Heat Map | Visualisation | Make_Classification | Sklearn - P2

Confusion Matrix | ML | AI | Heat Map | Visualisation | Make_Classification | Sklearn - P2

6,800 views

6y ago

Confusion Matrix | ML | AI | Accuracy | Error Rate | Type 1 Error | Type 2 Error | Sklearn - P3

Confusion Matrix | ML | AI | Accuracy | Error Rate | Type 1 Error | Type 2 Error | Sklearn - P3

4,600 views

6y ago

Confusion Matrix | ML | AI | TPR | TNR | FPR | FNR | Precision | Recall | Miss Rate - P4

Confusion Matrix | ML | AI | TPR | TNR | FPR | FNR | Precision | Recall | Miss Rate - P4

3,000 views

6y ago

Confusion Matrix | ML | AI | Precision | Recall | F1 Score | Micro Avg | Macro Avg | Weighted Avg P5

Confusion Matrix | ML | AI | Precision | Recall | F1 Score | Micro Avg | Macro Avg | Weighted Avg P5

11,000 views

6y ago

Confusion Matrix | ML | AI | metrics.precision | metrics.recall | metrics.f1-score | scikit-learn P6

Confusion Matrix | ML | AI | metrics.precision | metrics.recall | metrics.f1-score | scikit-learn P6

1,500 views

6y ago

Confusion Matrix | ML | AI | Performance measure using Precision Recall and F1 Score - P7

Confusion Matrix | ML | AI | Performance measure using Precision Recall and F1 Score - P7

880 views

6y ago

Confusion Matrix | ML | AI | sklearn.metrics.classification_report | Classification Report - P8

Confusion Matrix | ML | AI | sklearn.metrics.classification_report | Classification Report - P8

5,200 views

6y ago

Confusion Matrix with pandas_ml package | reverse engineering - P9

Confusion Matrix with pandas_ml package | reverse engineering - P9

1,100 views

6y ago

Confusion Matrix | ML | AI | Compare multiple classifiers using Confusion Matrix - P10

Confusion Matrix | ML | AI | Compare multiple classifiers using Confusion Matrix - P10

3,300 views

6y ago

Confusion Matrix Interview Question | Precision | Recall | Accuracy

Confusion Matrix Interview Question | Precision | Recall | Accuracy

688 views

6y ago

StatQuest with Josh Starmer

Machine Learning Fundamentals: The Confusion Matrix

Machine Learning Fundamentals: The Confusion Matrix

989,000 views

7y ago

Data Visualisation with Python, Matplotlib, Seaborn

Visualize Plot and Subplots using Matplotlib and Python - P1

Visualize Plot and Subplots using Matplotlib and Python - P1

5,600 views

8y ago

Data Visualisation with Matplotlib | xlim | ylim| legend | axis | axes - P2

Data Visualisation with Matplotlib | xlim | ylim| legend | axis | axes - P2

1,200 views

8y ago

Data Visualisation with Matplotlib | Annotate | Argmax | Argmin | ArrowProps - P3

Data Visualisation with Matplotlib | Annotate | Argmax | Argmin | ArrowProps - P3

792 views

8y ago

Bar Graphs- Simple, Stacked, Back-to-Back - P4

Bar Graphs- Simple, Stacked, Back-to-Back - P4

365 views

8y ago

Pie charts with Matplotlib | Data Visualization with Python - P5

Pie charts with Matplotlib | Data Visualization with Python - P5

358 views

8y ago

Visualize Iris Data with Seaborn and Matplotlib | Visualisation - P6

Visualize Iris Data with Seaborn and Matplotlib | Visualisation - P6

3,300 views

8y ago

Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial

Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial

1,500,000 views

8y ago

Data Visualization | Data Visualization Python | Intellipaat

Data Visualization | Data Visualization Python | Intellipaat

108,000 views

Streamed 7y ago

Data Science Course for Beginners (11 Hours Data Science Tutorial)

Data Science Course for Beginners (11 Hours Data Science Tutorial)

1,000,000 views

6y ago

Label Encoding, One hot Encoding, Dummy Encoding in Machine Learning

Python for Machine Learning | Label Encoding | Preprocessing - P16

Python for Machine Learning | Label Encoding | Preprocessing - P16

17,000 views

8y ago

Python for Machine Learning - Part 17 | One Hot Encoding | Dummy Encoding | Preprocessing

Python for Machine Learning - Part 17 | One Hot Encoding | Dummy Encoding | Preprocessing

9,500 views

8y ago

Dummy Variables | Get Dummies to transform Categorical Variables into Boolean using python pandas

Dummy Variables | Get Dummies to transform Categorical Variables into Boolean using python pandas

7,300 views

8y ago

Label Encoding with user defined function | Machine Learning | Preprocessing - P2

Label Encoding with user defined function | Machine Learning | Preprocessing - P2

831 views

8y ago

Label Encoding with user defined Function | Machine Learning | Preprocessing - P1

Label Encoding with user defined Function | Machine Learning | Preprocessing - P1

1,500 views

8y ago

Python for Machine Learning | Preprocessing | fit, transform and fit_transform

Python for Machine Learning | Preprocessing | fit, transform and fit_transform

15,000 views

8y ago

Difference between One-hot Encoding and Dummy Encoding | One Hot Encoding | Dummy Encoding

Difference between One-hot Encoding and Dummy Encoding | One Hot Encoding | Dummy Encoding

7,400 views

7y ago

Machine Learning | Dummy Variable Trap | One Hot Encoding | Dummy Encoding | Linear Regression

Machine Learning | Dummy Variable Trap | One Hot Encoding | Dummy Encoding | Linear Regression

5,300 views

7y ago

Machine Learning | Limiting the number of Columns of a dataset | Feature Engineering

Machine Learning | Limiting the number of Columns of a dataset | Feature Engineering

496 views

7y ago

Machine Learning | Process to decode and get the Categorical Values back | Dummy Encoding

Machine Learning | Process to decode and get the Categorical Values back | Dummy Encoding

1,700 views

6y ago

Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding

Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding

507,000 views

8y ago

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

320,000 views

7y ago

Handling Missing Values in Machine Learning

Machine Learning | Handling Missing Values | None Vs Nan

Machine Learning | Handling Missing Values | None Vs Nan

1,500 views

4y ago

Python for Machine Learning | How to manipulate NAN (Not a number) - P5

Python for Machine Learning | How to manipulate NAN (Not a number) - P5

4,000 views

8y ago

Machine Learning | Handle Missing Data | Handling Missing Values by dropping them - P14

Machine Learning | Handle Missing Data | Handling Missing Values by dropping them - P14

2,400 views

8y ago

Machine Learning | Handle Missing Values | Handling Missing Values Using Imputer - P15

Machine Learning | Handle Missing Values | Handling Missing Values Using Imputer - P15

15,000 views

8y ago

Machine Learning | Handling missing values using SimpleImputer | Data Imputation in Pandas

Machine Learning | Handling missing values using SimpleImputer | Data Imputation in Pandas

5,700 views

6y ago

Machine Learning | Handling missing values | Visualize Missing Values using missingno package

Machine Learning | Handling missing values | Visualize Missing Values using missingno package

4,600 views

6y ago

Handling Missing values in Time Series Analysis | Interpolate

Handling Missing values in Time Series Analysis | Interpolate

5,900 views

8y ago

Mathematics in KNN Imputer explained with step by step details | KNN Imputer | Handle missing values

Mathematics in KNN Imputer explained with step by step details | KNN Imputer | Handle missing values

2,100 views

4y ago

KNNImputer or IterativeImputer to Impute the missing values | fancyimpute

KNNImputer or IterativeImputer to Impute the missing values | fancyimpute

6,100 views

4y ago

Handling Missing Data Easily Explained| Machine Learning

Handling Missing Data Easily Explained| Machine Learning

212,000 views

7y ago

Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate

Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate

492,000 views

9y ago

How do I handle missing values in pandas?

How do I handle missing values in pandas?

201,000 views

10y ago

Anaconda | Python Installation | Spyder | Jupyter Notebook | PyCharm | Graphviz

Python for Machine Learning | Install Graphviz | Install Pydotplus to visualize Decision Tree

Python for Machine Learning | Install Graphviz | Install Pydotplus to visualize Decision Tree

46,000 views

8y ago

How To Install Anaconda On Windows | Spyder | Jupyter | Python - Part 0

How To Install Anaconda On Windows | Spyder | Jupyter | Python - Part 0

1,900 views

8y ago

How to Install Python 3.7.X and Pycharm version in Windows 10 | Step by Step guide

How to Install Python 3.7.X and Pycharm version in Windows 10 | Step by Step guide

1,600 views

7y ago

Anaconda | Spyder | Spyder Editor | Spyder notebook | Install Spyder Notebook | Run Cells in Spyder

Anaconda | Spyder | Spyder Editor | Spyder notebook | Install Spyder Notebook | Run Cells in Spyder

11,000 views

6y ago

Python3 Basics # 1.1 | Set Path and Run Python Script using Command prompt

Python3 Basics # 1.1 | Set Path and Run Python Script using Command prompt

5,300 views

6y ago

How to open Jupyter Notebook in WINDOWS 10

How to open Jupyter Notebook in WINDOWS 10

40,000 views

6y ago

Python Jupyter notebook | Importance of Code, Header, Markdown and Cell Color

Python Jupyter notebook | Importance of Code, Header, Markdown and Cell Color

3,200 views

6y ago

Machine Learning | How to Visualize Decision Tree in Random Forest | Random Forest Visualization

Machine Learning | How to Visualize Decision Tree in Random Forest | Random Forest Visualization

1,900 views

5y ago

ProgrammingKnowledge

Install Anaconda Python, Jupyter Notebook And Spyder on Windows 10

Install Anaconda Python, Jupyter Notebook And Spyder on Windows 10

1,400,000 views

8y ago

How to install Anaconda(Python) on Windows 10 - 64 bit | Download & Install Anaconda Python

How to install Anaconda(Python) on Windows 10 - 64 bit | Download & Install Anaconda Python

192,000 views

5y ago

How to connect Jupyter Notebook with Spyder Kernel | Open Jupyter Notebook variables in spyder

How to connect Jupyter Notebook with Spyder Kernel | Open Jupyter Notebook variables in spyder

24,000 views

5y ago

Feature Scaling in Machine Learning

Python for Machine Learning | Feature Scaling - Min Max Scaler | Min Max Scaler to scale features

Python for Machine Learning | Feature Scaling - Min Max Scaler | Min Max Scaler to scale features

13,000 views

8y ago

Machine Learning | Standard Scaler to scale features | Feature Scaling | Standard Scaler | ML - P22

Machine Learning | Standard Scaler to scale features | Feature Scaling | Standard Scaler | ML - P22

15,000 views

8y ago

Machine Learning | Scale features using Binarizer | Feature Scaling | Binarizer - P25

Machine Learning | Scale features using Binarizer | Feature Scaling | Binarizer - P25

2,400 views

8y ago

Machine Learning | Scale features using Normalizer | Feature Scaling | Normalizer - P24

Machine Learning | Scale features using Normalizer | Feature Scaling | Normalizer - P24

2,800 views

8y ago

Feature Scaling with MaxAbs Scaler | Max Abs Scaler | Machine Learning | Pre-processing

Feature Scaling with MaxAbs Scaler | Max Abs Scaler | Machine Learning | Pre-processing

1,100 views

8y ago

Data Transformation and Visualisation with Standard Scaler | Machine Learning

Data Transformation and Visualisation with Standard Scaler | Machine Learning

1,500 views

8y ago

Machine Learning | Data Transformation and Visualisation with Min Max Scaler

Machine Learning | Data Transformation and Visualisation with Min Max Scaler

1,100 views

8y ago

Feature Scaling with Robust Scaler | Robust Scaler | Machine Learning | Pre-processing

Feature Scaling with Robust Scaler | Robust Scaler | Machine Learning | Pre-processing

3,200 views

8y ago

Machine Learning | How to Rescale the data using inverse_transform() | Preprocessing

Machine Learning | How to Rescale the data using inverse_transform() | Preprocessing

7,500 views

8y ago

Python | Python 3 Basics | Python for Beginners

How To Install Anaconda On Windows | Spyder | Jupyter | Python - Part 0

How To Install Anaconda On Windows | Spyder | Jupyter | Python - Part 0

1,900 views

8y ago

How to Install Python 3.7.X and Pycharm version in Windows 10 | Step by Step guide

How to Install Python 3.7.X and Pycharm version in Windows 10 | Step by Step guide

1,600 views

7y ago

Python 3 Basics # 1 | Print Function | Format Function | Padding in Python | Python for Beginners

Python 3 Basics # 1 | Print Function | Format Function | Padding in Python | Python for Beginners

812 views

8y ago

Python 3 Basics # 1.0.1 | Python Print Function Parameters

Python 3 Basics # 1.0.1 | Python Print Function Parameters

6,700 views

4y ago

Python 3 Basics #1 | Exercise on print() | format() | len() | Padding in Python |

Python 3 Basics #1 | Exercise on print() | format() | len() | Padding in Python |

694 views

5y ago

Python 3 Basics #1 | Solution for Exercises on print () | len() | format() | padding in python

Python 3 Basics #1 | Solution for Exercises on print () | len() | format() | padding in python

338 views

5y ago

Python3 Basics # 1.1 | Set Path and Run Python Script using Command prompt

Python3 Basics # 1.1 | Set Path and Run Python Script using Command prompt

5,300 views

6y ago

Python3 Basics # 1.2 | Python Assignment Operator | Python Arithmetic Operator

Python3 Basics # 1.2 | Python Assignment Operator | Python Arithmetic Operator

104 views

6y ago

Python3 Basics # 1.3 | Python Operators | Unary | Logical | Identity | Python for Beginners

Python3 Basics # 1.3 | Python Operators | Unary | Logical | Identity | Python for Beginners

463 views

6y ago

Python3 Basics # 1.4 | Python Bitwise Operators | bitwise operators python example

Python3 Basics # 1.4 | Python Bitwise Operators | bitwise operators python example

1,200 views

6y ago

Python 3 Basics # 1.5 | Unpacking Python sequence into separate variables | Throwaway variables

Python 3 Basics # 1.5 | Unpacking Python sequence into separate variables | Throwaway variables

1,000 views

5y ago

Python 3 Basics # 2 | Datatypes in Python | Typecasting | Python Data types | Python for Beginners

Python 3 Basics # 2 | Datatypes in Python | Typecasting | Python Data types | Python for Beginners

277 views

8y ago

Shorts

Uncover the Secrets of Reshaping Matrices with Python! #shorts

Uncover the Secrets of Reshaping Matrices with Python! #shorts

187 views

Unbelievable Trick to Create CHAT GPT - Add It to Your Homescreen Now!

Unbelievable Trick to Create CHAT GPT - Add It to Your Homescreen Now!

142 views

Mind Blowing Trick - Find Variance of a Matrix! #shorts

Mind Blowing Trick - Find Variance of a Matrix! #shorts

229 views

Uncover the Hidden Mystery of Matrix Standard Deviation #shorts

Uncover the Hidden Mystery of Matrix Standard Deviation #shorts

375 views

Unraveling the Secrets of Matrix Flattening #shorts

Unraveling the Secrets of Matrix Flattening #shorts

342 views

Unlock the Power of Bit-wise to Reverse a Python List! #shorts

Unlock the Power of Bit-wise to Reverse a Python List! #shorts

577 views

Unlock the Secret to Averaging an Entire Matrix #shorts

Unlock the Secret to Averaging an Entire Matrix #shorts

392 views

Solve Matrix Diagonals in Seconds | Quick Maths Hack

Solve Matrix Diagonals in Seconds | Quick Maths Hack

299 views

Incredible Slicing Trick to Reverse Python List in Seconds!

Incredible Slicing Trick to Reverse Python List in Seconds!

320 views

Unbelievable Way to Reverse a List Using Numpy

Unbelievable Way to Reverse a List Using Numpy

261 views

Learn How To Reverse Python List using Built-in Reversed method #shorts

Learn How To Reverse Python List using Built-in Reversed method #shorts

177 views

How to Reverse a list in Python using the Built-in Reversed Method

How to Reverse a list in Python using the Built-in Reversed Method

302 views

Reveal the Shocking Way to Reverse your Python List!

Reveal the Shocking Way to Reverse your Python List!

98 views