Complete Machine Learning & Data Science with Python| ML A-Z
- Description
- Curriculum
- FAQ
- Reviews
Artificial Intelligence is the next digital frontier, with profound implications for business and society. The global AI market size is projected to reach $202.57 billion by 2026, according to Fortune Business Insights.
This Data Science & Machine Learning (ML) course is not only ‘Hands-On’ practical based but also includes several use cases so that students can understand actual Industrial requirements, and work culture. These are the requirements to develop any high level application in AI.
In this course several Machine Learning (ML) projects are included.
1) Project – Customer Segmentation Using K Means Clustering
2) Project – Fake News Detection using Machine Learning (Python)
3) Project COVID-19: Coronavirus Infection Probability using Machine Learning
4) Project – Image compression using K-means clustering | Color Quantization using K-Means
This course include topics —
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What is Data Science
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Describe Artificial Intelligence and Machine Learning and Deep Learning
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Concept of Machine Learning – Supervised Machine Learning , Unsupervised Machine Learning and Reinforcement Learning
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Python for Data Analysis- Numpy
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Working envirnment-
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Google Colab
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Anaconda Installation
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Jupyter Notebook
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Data analysis-Pandas
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Matplotlib
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What is Supervised Machine Learning
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Regression
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Classification
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Multilinear Regression Use Case- Boston Housing Price Prediction
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Save Model
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Logistic Regression on Iris Flower Dataset
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Naive Bayes Classifier on Wine Dataset
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Naive Bayes Classifier for Text Classification
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Decision Tree
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K-Nearest Neighbor(KNN) Algorithm
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Support Vector Machine Algorithm
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Random Forest Algorithm I
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What is UnSupervised Machine Learning
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Types of Unsupervised Learning
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Advantages and Disadvantages of Unsupervised Learning
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What is clustering?
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K-means Clustering
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Image compression using K-means clustering | Color Quantization using K-Means
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Underfitting, Over-fitting and best fitting in Machine Learning
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How to avoid Overfitting in Machine Learning
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Feature Engineering
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Teachable Machine
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Python Basics
In the recent years, self-driving vehicles, digital assistants, robotic factory staff, and smart cities have proven that intelligent machines are possible. AI has transformed most industry sectors like retail, manufacturing, finance, healthcare, and media and continues to invade new territories. Everyday a new app, product or service unveils that it is using machine learning to get smarter and better.
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1
What is Data ScienceReference Notes- https://www.goeduhub.com/11391/science-career-science-science-scientist-responsibilities?show=11391#q11391
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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2
Describe Artificial Intelligence and Machine Learning and Deep Learning
Reference Notes - https://www.goeduhub.com/10370/machine-learning-vs-deep-learning?show=10370#q10370
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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3
Concept of Machine Learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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4
Google Colab Introduction
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5
Anaconda Installation
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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6
Jupyter Notebook
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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9
Pandas Series
Reference Notes - https://www.goeduhub.com/599/what-is-pandas-library-of-python-what-is-its-significance?
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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10
Pandas DataFrames
Reference Notes - https://www.goeduhub.com/603/what-data-frame-pandas-best-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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11
Grouping and Filtering
Reference Notes - https://www.goeduhub.com/603/what-data-frame-pandas-best-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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12
Slicing and Sorting
Reference Notes -https://www.goeduhub.com/631/dataframe-slicing-pandas-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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13
Pandas Missing Values
Reference Notes -https://www.goeduhub.com/634/missing-values-pandas-best-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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14
Pandas Aggregation Functions
Reference Notes -https://www.goeduhub.com/636/aggregation-functions-pandas-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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15
Matplotlib Introduction
Reference Notes -https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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16
Matplotlib Bar Graphs
Reference Notes -https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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17
Matplotlib Histogram
Reference Notes -https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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18
Matplotlib Scatter Plot
Reference Notes -https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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19
Matplotlib Area Plot
Reference Notes - https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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20
Matplotlib Pie Chart
Reference Notes - https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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21
Matplotlib Subplots
Reference Notes - https://www.goeduhub.com/639/what-matplotlib-science-machine-learning-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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22
What is Supervised Machine Learning and Linear Regression Algorithm
Reference Notes - https://www.goeduhub.com/753/supervised-learning-machine-learning-best-training-jaipur
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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23
Implementation of Linear Regression
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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24
Plot Linear Regression
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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25
Implementation of Multi Linear Regression
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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26
Example 2- Multilinear Regression
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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27
Use Case- Boston Housing Price Prediction
Reference Notes- https://www.goeduhub.com/756/predicting-boston-house-price-with-regression
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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28
Save Model
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29
how to implement Logistic Regression
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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30
Logistic Regression on Iris Flower Dataset
Reference Notes - https://www.goeduhub.com/758/logistic-regression-flowers-classification-learning-training
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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31
Logistic Regression on Digits Dataset
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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32
Naive Bayes Classifier
https://www.goeduhub.com/3426/demonstrate-and-implement-the-naive-bayesian-classifier?show=3426#q3426
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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33
Implementation of Naive Bayes classifier on Wine Dataset
https://www.goeduhub.com/3426/demonstrate-and-implement-the-naive-bayesian-classifier?show=3426#q3426
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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34
Introduction to Naive Bayes Classifier for Text Classification
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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35
Implementating Naive Bayes Classifier for Text Classification
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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36
Introduction to Decision Tree
https://www.goeduhub.com/1173/what-is-decision-tree
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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37
Implementation of Decision Tree
https://www.goeduhub.com/11055/decision-tree-on-iris-datasets-machine-learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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38
K-Nearest Neighbor(KNN) Algorithm
Reference Notes - https://www.goeduhub.com/3237/demonstrate-and-implement-nearest-neighbor-knn-algorithm?show=3237#q3237
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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39
Implementation of K-Nearest Neighbor(KNN) Algorithm
Reference Notes - https://www.goeduhub.com/3237/demonstrate-and-implement-nearest-neighbor-knn-algorithm?show=3237#q3237
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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40
Support Vector Machine Algorithm
https://www.goeduhub.com/3487/demonstrate-and-implement-support-vector-machine?show=3487#q3487
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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41
Implementation of Support Vector Machine Algorithm
https://www.goeduhub.com/3487/demonstrate-and-implement-support-vector-machine?show=3487#q3487
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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42
Random Forest Algorithm
Reference Notes - https://www.goeduhub.com/11098/random-forest-algorithm-on-iris-datasets-machine-learning?show=11098#q11098
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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43
Implementation of Random Forest Algorithm
Reference Notes - https://www.goeduhub.com/11098/random-forest-algorithm-on-iris-datasets-machine-learning?show=11098#q11098
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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44
What is UnSupervised Machine Learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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45
Types of Unsupervised Learning
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46
Advantages and Disadvantages of Unsupervised Learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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47
What is clustering?
Reference Notes - https://www.goeduhub.com/760/what-is-clustering-in-unsupervised-learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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48
K-means Clustering
Reference Notes - https://www.goeduhub.com/760/what-is-clustering-in-unsupervised-learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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49
Implementing K-means Clustering
Reference Notes - https://www.goeduhub.com/760/what-is-clustering-in-unsupervised-learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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50
Image compression using K-means clustering | Color Quantization using K-Means
Reference Notes - https://www.goeduhub.com/11395/compression-clustering-quantization-clustering-application?show=11396#a11396
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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64
Underfitting, Overfitting and best fitting in Machine Learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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65
How to avoid Overfitting in Machine Learning
https://www.goeduhub.com/artificial-intelligence-ml-deep-learning
https://www.goeduhub.com/machine-learning-using-python
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66
Applications of Artificial Intelligence
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67
Teachable Machine
