Course curriculum

  • 1

    Machine Learning - Supervised Learning Course

  • 2

    Practice Exercises Notebook - Github

    • Practice Exercises Notebooks

  • 3

    Group Learning & Q/A Community

    • Group Learning and Q/A Community

    • Ecosia_Search_Engine

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 4

    Introduction to Machine Learning

    • 2.1.Machine_Learning_Why_Such_Representation

    • 2.2.Have_You_Noticed

    • 2.3.Introduction_to_Machine_Learning

    • 2.4.What_is_Machine_Learning_IBM

    • 2.5.What_is_Machine_Learning_SAS

    • 2.6.What_is_Machine_Learning_Mathworks

    • 2.7.What_is_Machine_Learning_Geekforgeeks

    • 2.8.What_is_Machine_Learning_x

    • 2.9.What_is_Machine_Learning_edureka

    • 2.10.Stick_with_one_definition

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 5

    Applications of Machine Learning

    • 2.11.Applications_in_day-to-day_life

    • 2.12.Applications_in_industry_1

    • 2.13.Applications_in_industry_2

  • 6

    A Good Machine Learning System

    • 2.14.How_does_machine_learning_works

    • 2.15.What_required_for_a_good_machine_leanring_system

    • Al Nafi Linux

  • 7

    Machine Learning Attention & Tools

    • 2.16.Why_machine_learning_getting_attention

    • 2.17.Machine_learning_tools

    • 2.18.Diff_machine_learning_n_deep_leaarning

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 8

    Phases of Machine Learning Model

    • 2.19.Phases_of_ML_model

  • 9

    Types of Machine Learning

    • 2.20.Different_ways_in_which_machine_learn

    • 2.21.Types_of_machine_learning

    • 2.22.Machine_learning_full_view

  • 10

    Overview of Reinforcement Learning

    • 13.1.Reinforcement_Learning_Overview

    • 13.2.Reinforcement_Learning_Flowchart

    • 13.3.Reinforcement_Learning_Example_1

    • Recite Quran and memorization

    • 13.4.Reinforcement_Learning_Example_2

  • 11

    Direction to Model Building

    • 14.1.Direction_to_Model_Building

    • 14.2.Direction_to_Model_Building

  • 12

    Mandatory Concepts of Statistics

    • 3.1.Mandatory_concepts_of_Statistics

    • 3.2.Measure_of_Central_Tedency_Mean

    • Al Nafi Linux

    • 3.3.Measure_of_Central_Tedency_Median

    • 3.4.Measure_of_Central_Tedency_Mode

    • 3.5.Measures_of_Variability

    • 3.6.Why_Measures_of_Variability_is_Important

    • 3.7.Example_of_Measures_of_Variability

    • 3.8.Measures_of_Variability_Range

    • 3.9.Measures_of_Variability_Interquartile_Range

    • 3.10.Measures_of_Variability_Variance

    • 3.11.Measures_of_Variability_Standard_Deviation

    • 3.12.Which_is_Best_Measures_of_Variability

    • 3.13.Correlation

    • 3.14.Dependent_vs_Independent_Variables

    • 3.15.Do_you_know

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 13

    Supervised Learning

    • 4.1.Supervised_Learning_Introduction

    • IELTS course covers both General Training and Academic papers.

    • 4.2.Supervised_Learning_Subsections

    • 4.3.Supervised_Learning_Algorithms

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 14

    Regression

    • 5.1.Regression_Introduction

    • Slop and Intercept

    • 5.2.Regression_Baseline_Assumption

    • 5.3.Regression_Equation_Explained

    • 5.4.Regression_Example

    • 5.5.Regression_Rsquare

    • 5.6.Regression_Pre-Analysis_Check

    • 5.7.Regression_Analysis_R

    • 5.8.Regression_Accuracy_Metrics

    • Class Example of Regression

    • 5.9.Regression_Predictive_Model

    • Class Example of Regression Predictive Model

    • 5.10.Multivariate_Regression_Example

    • Multivariate Regression Models

    • 5.11.Regression_Exercise

    • Regression Practice Examples

    • آئیں میتھ سیکھیں کھیل کھیل میں

    • Recite Quran and memorization

  • 15

    Classification

    • 6.1.Classification_Introduction

    • 6.2.Classification_Process_Flow

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 16

    Logistic Regression

    • 7.1.Logistic_Regression_1

    • 7.2.Logistic_Regression_2

    • 7.3.Logistic_Regression_Code

    • 7.4.Variable_Importance

    • Class Example Logistic Regression

    • 7.5.Logistic_Regression_Class_Exercise

    • Al Nafi Linux

    • Class Exercise Logit

    • Al Nafi Linux

    • 7.6.Logistic_Regression_Practise_Exercise

    • Class Exercise Logit Solution

    • Logistic Regression Practice Example

    • آئیں میتھ سیکھیں کھیل کھیل میں

  • 17

    Decision Tree Algorithm

    • 8.1.Decision_Tree_Introduction

    • 8.2.Decision_Tree_Steps

    • 8.3.Decision_Tree_Examples

    • 8.4.Decision_Tree_Examples_2

    • 8.5.Decision_Tree_Attribute_Selection

    • آئیں میتھ سیکھیں کھیل کھیل میں

    • 8.6.Decision_Tree_GINI_Index_&_Tree_Formation

    • 8.7.Decision_Tree_Code

    • 8.8.Decision_Tree_Code_2

    • Class Example Decision Tree

    • 8.9.Decision_Tree_Advantages_Disadvantages

    • Decision Tree Practice Examples

    • Al Nafi Linux

  • 18

    Random Forests Algorithm

    • 9.1.Random_Forests_Introduction

    • 9.2.Random_Forests_Process

    • 9.3.Random_Forests_Code

    • Class Example Random Forests

    • Al Nafi Linux

    • 9.4.Random_Forests_Practise_Exercise

  • 19

    Naive Bayes Algorithm

    • 10.1.Naive_Bayes_Introduction

    • How to Study CODS and Data Science Together and be job or freelancing ready in 6 to 9 months.

    • 10.2.Naive_Bayes_Attributes

    • Bayes Theorem

    • 10.3.Bayes_Theorem_1

    • 10.4.Bayes_Theorem_2

    • Al Nafi Linux

    • 10.5.Bayes_Theorem_Example

    • 10.6.Naive_Bayes_Theorem_1

    • How to Study CODS and Data Science Together and be job or freelancing ready in 6 to 9 months.

    • 10.7.Naive_Bayes_Theorem_2

    • 10.8.Naive_Bayes_Theorem_Example

    • 10.9.Naive_Bayes_Theorem_Code_1

    • 10.10.Naive_Bayes_Theorem_Code_2

    • 10.11.Naive_Bayes_Theorem_Code_3

    • Naive Bayes Class Examples

    • Naive Bayes Model Class Example

    • Naive Bayes Classifier Examples

    • 10.12.Naive_Bayes_Theorem_Conclusion

    • Nafi Linux

    • Recite Quran and memorization

    • Al Nafi Linux

  • 20

    Artificial Neural Network Algorithm

    • 11.1.Neural_Network_Introduction

    • 11.2.Neural_Network_2

    • 11.3.Neural_Network_Concept

    • 11.4.Neural_Network_Real_Life_Example

    • Recite Quran and memorization

    • 11.5.Artificial_Neural_Network

    • 11.6.ANN_Neuron

    • 11.7.Multilayer_Feed-Forward_Network_or_Perceptrons

    • 11.8.Multi-layer_Perceptron

    • 11.9.Multi-layer_Perceptron_Examples

    • 11.10.Specification_of_ANN

    • 11.11.Architecture_of_NN

    • 11.12.Working_of_ANN

    • 11.13.Backpropagation

    • 11.14.Derivation_and_Chain_Rule

    • Recite Quran and memorization

    • 11.15.ANN_Computation_Example

    • 11.16.Learn_by_doing_it

    • 11.17.ANN_R_Code

    • آئیں میتھ سیکھیں کھیل کھیل میں

    • Al Nafi Linux

    • ANN Class Exercise

    • 11.18.ANN_Conclusion

    • Artificial Neural Network Examples

    • 11.19.Diff_bw_ML_and_DL

    • IELTS course covers both General Training and Academic papers.

  • 21

    Model Evaluation Techniques

    • 12.1.Model_Evaluation_Techiniques_Regression

    • 12.2.Model_Evaluation_Techiniques_Hold_Out_Method

    • 12.3.Model_Evaluation_Techiniques_Basic_Accuracy_Calculation

    • 12.4.Model_Evaluation_Techiniques_Confusion_Matrix

    • 12.5.Model_Evaluation_Techiniques_Accuracy_exercies

    • 12.6.Model_Evaluation_Techiniques_Code

    • 12.7.Model_Evaluation_Techiniques_Precision

    • 12.8.Model_Evaluation_Techiniques_Recall

    • 12.9.Model_Evaluation_Techiniques_Specificity

    • 12.10.Model_Evaluation_Techiniques_P.R.S.

    • 12.11.Model_Evaluation_Techiniques_FPR

    • 12.12.Model_Evaluation_Techiniques_ConfusionMatrix_Code

    • 12.13.Model_Evaluation_Techiniques_ROC_AUC

    • Class Example of Model Evaluation

    • Model Evaluation Practice Exercise

  • 22

    Challenges, Advantages & Disadvantages

    • 15.Challenges_Advantages_Disadvantages

  • 23

    Course Summary

    • 16.1.Recap

    • 16.2.Course_Summary

  • 24

    Add-on Module - Kaggle

    • 17.Add-on_Kaggle_Practice

  • 25

    Resources

    • Machine Learning - Supervised Learning Course Slides

    • Machine Learning - Supervised Learning Course Slide PDF

  • 26

    Solution Link Submission

    • Solution Link Submission

  • 27

    Congratulations !

    • Congratulations !