Machine Learning & Deep Learning in Python

$0.99
Instructor:
Start-Tech Academy
Category:

You’re looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Data Science, Machine Learning, Python, R or Deep Learning, right?

A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.

If you are a business manager or an executive, or a student who wants to learn and apply machine learning and deep learning concepts in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning and deep learning. You will also get exposure to data science and data analysis tools like R and Python.

 

What you’ll learn
  • Learn how to solve real life problem using the Machine learning techniques
  • Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
  • Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
  • Understanding of basics of statistics and concepts of Machine Learning
  • How to do basic statistical operations and run ML models in Python
  • In-depth knowledge of data collection and data preprocessing for Machine Learning problem
  • How to convert business problem into a Machine learning problem
Syllabus

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Course content
42
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42 sections • 274 lectures • Total duration 33 h 13 min

Introduction
Setting up Python and Jupyter Notebook
Integrating ChatGPT with Python
Setting up R Studio and R crash course
Basics of Statistics
Introduction to Machine Learning
Data Preprocessing
Linear Regression
Introduction to the classification Models
Logistic Regression
Linear Discriminant Analysis (LDA)
K-Nearest Neighbors classifier
Comparing results from 3 models
Simple Decision Trees
Simple Classification Tree
Ensemble technique 1 - Bagging
Ensemble technique 2 - Random Forests
Ensemble technique 3 - Boosting
Support Vector Machines
Support Vector Classifier
Support Vector Machines
Creating Support Vector Machine Model in Python
Creating Support Vector Machine Model in R
Introduction - Deep Learning
Neural Networks - Stacking cells to create network
ANN in Python
ANN in R
CNN - Basics
Creating CNN model in Python
Creating CNN model in R
Project : Creating CNN model from scratch in Python
Project : Creating CNN model from scratch
Project : Data Augmentation for avoiding overfitting
Transfer Learning : Basics
Transfer Learning in R
Time Series Analysis and Forecasting
Time Series - Preprocessing in Python
Time Series - Important Concepts
Time Series - Implementation in Python
Time Series - ARIMA model
Time Series - SARIMA model
Congratulations & About your certificate