Course curriculum
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1
1_A Good Machine Learning System
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1_How does machine learning works
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2_What required for a good machine leanring system
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2
2_Add-on Module - Kaggle
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1_Add on Kaggle Practice
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3
3_Applications of Machine Learning
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1_Applications in day to day life
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3_Applications in industry Part 2
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2_Applications in industry Part 1
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4
4_Artificial Neural Network Algorithm
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1_Neural Network Introduction
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2_Neural Network 2
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3_Neural Network Concept
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4_Neural Network Real Life Example
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5_Artificial Neural Network
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6_ANN Neuron
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7_Multilayer Feed Forward Network or Perceptrons
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8_Multi layer Perceptron
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9_Multi layer Perceptron Examples
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10_Specification of ANN
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11_Architecture of NN
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12_Working of ANN
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13_Backpropagation
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14_Derivation and Chain Rule
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15_ANN Computation Example
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16_Learn by doing it
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17_ANN R Code
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18_ANN Conclusion
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19_Diff bw ML and DL
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5
5_Challenges, Advantages & Disadvantages
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1_Challenges Advantages Disadvantages
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6
6_Classification
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1_Classification Introduction
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2_Classification Process Flow
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7
7_Congratulations
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1_Congratulations
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8
8_Course Summary
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1_Recap
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2_Course Summary
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9
9-10_Direction to Model Building
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1_Direction to Model Building
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2_Direction to Model Building Part 2
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10
11-12_Introduction to Machine Learning
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1_Machine Learning Why Such Representation
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2_Have You Noticed
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3_Introduction to Machine Learning
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4_What is Machine Learning IBM
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5_What is Machine Learning SAS
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6_What is Machine Learning Mathworks
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7_What is Machine Learning Geekforgeeks
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8_What is Machine Learning x
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9_What is Machine Learning edureka
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10_Stick with one definition
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11
13_Logistic Regression
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1_Logistic Regression 1
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2_Logistic Regression 2
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3_Logistic Regression Code
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4_Variable Importance
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5_Logistic Regression Class Exercise
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6_Logistic Regression Practise Exercise
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12
14_Machine Learning - Supervised Learning Course
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1_Machine Learning Course Introduction
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2_Why Machine Learning
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3_Machine Learning Course Outline
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4_Machine Learning Books Recommended
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13
15_Machine Learning Attention & Tools
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1_Why machine learning getting attention
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2_Machine learning tools
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3_Diff machine learning n deep leaarning
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14
16_Mandatory Concepts of Statistics
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1_Mandatory concepts of Statistics
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4_Measure of Central Tedency Mode
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5_Measures of Variability
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8_Measures of Variability Range
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13_Correlation
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9_Measures of Variability Interquartile Range
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14_Dependent vs Independent Variables
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12_Which is Best Measures of Variability
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15_Do you know
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7_Example of Measures of Variability
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10_Measures of Variability Variance
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3_Measure of Central Tedency Median
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6_Why Measures of Variability is Important
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11_Measures of Variability Standard Deviation
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2_Measure of Central Tedency Mean
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15
17_Model Evaluation Techniques
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1_Model Evaluation Techiniques Regression
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2_Model Evaluation Techiniques Hold Out Method
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3_Model Evaluation Techiniques Basic Accuracy Calculation
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4_Model Evaluation Techiniques Confusion Matrix
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5_Model Evaluation Techiniques Accuracy exercies
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6_Model Evaluation Techiniques Code
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7_Model Evaluation Techiniques Precision
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8_Model Evaluation Techiniques Recall
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9_Model Evaluation Techiniques Specificity
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10_Model Evaluation Techiniques P.R.S.
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11_Model Evaluation Techiniques FPR
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12_Model Evaluation Techiniques ConfusionMatrix Code
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13_Model Evaluation Techiniques ROC AUC
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16
18_Naive Bayes Algorithm
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1_Naive Bayes Introduction
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2_Naive Bayes Attributes
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3_Bayes Theorem 1
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4_Bayes Theorem 2
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5_Bayes Theorem Example
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6_Naive Bayes Theorem 1
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7_Naive Bayes Theorem 2
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8_Naive Bayes Theorem Example
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9_Naive Bayes Theorem Code 1
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10_Naive Bayes Theorem Code 2
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11_Naive Bayes Theorem Code 3
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12_Naive Bayes Theorem Conclusion
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17
19_Overview of Reinforcement Learning
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1_Reinforcement Learning Overview
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2_Reinforcement Learning Flowchart
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3_Reinforcement Learning Example 1
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4_Reinforcement Learning Example 2
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18
20_Phases of Machine Learning Model
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1_Phases of ML model
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19
21_Random Forests Algorithm
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1_Random Forests Introduction
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2_Random Forests Process
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3_Random Forests Code
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20
22_Regression
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1_Regression Introduction
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2_Regression Baseline Assumption
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3_Regression Equation Explained
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4_Regression Example
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5_Regression Rsquare
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6_Regression Pre-Analysis Check
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7_Regression Analysis R
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8_Regression Accuracy Metrics
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9_Regression Predictive Model
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11_Regression Exercise
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10_Multivariate Regression Example
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21
24_Types of Machine Learning
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1_Different ways in which machine learn
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2_Types of machine learning
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3_Machine learning full view
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