Data Science & Machine Learning - IOMH - Institute of Mental Health , Online,United Kingdom

Mon, 14 Oct 2024 16:09:45 +04

Data science is transforming industries, but many feel overwhelmed by the sheer complexity of algorithms and machine learning models. Without a clear path, even the most motivated learners can struggle to get started. Imagine confidently handling machine learning models, data preparation, and algorithm evaluations using Data Science & Machine Learning techniques. This course bridges the gap between confusion and confidence, providing a structured, step-by-step introduction to Data Science & Machine Learning. Through foundational Python libraries and advanced evaluation methods, you’ll develop the skills to understand and work with complex data sets. With this Data Science & Machine Learning course, you’ll gain the expertise to tackle data science challenges, positioning yourself for success in a rapidly growing field.

Learning Outcomes

Understand the fundamentals of Data Science & Machine Learning.
Learn how to prepare, clean, and manipulate datasets.
Master key Python libraries such as NumPy, Pandas, and Matplotlib.
Develop skills in algorithm evaluation and selection.
Gain expertise in feature selection and data preparation.
Explore ensemble techniques for performance improvement.

Course Curriculum

Module 01: Course Overview & Table of Contents
Module 02: Introduction to Machine Learning - Part 1 - Concepts, Definitions, and Types
Module 03: Introduction to Machine Learning - Part 2 - Classifications and Applications
Module 04: System and Environment Preparation - Part 1
Module 05: System and Environment Preparation - Part 2
Module 06: Learn Basics of Python - Assignment
Module 07: Learn Basics of Python - Assignment
Module 08: Learn Basics of Python - Functions
Module 09: Learn Basics of Python - Data Structures
Module 10: Learn Basics of NumPy - NumPy Array
Module 11: Learn Basics of NumPy - NumPy Data
Module 12: Learn Basics of NumPy - NumPy Arithmetic
Module 13: Learn Basics of Matplotlib
Module 14: Learn Basics of Pandas - Part 1
Module 15: Learn Basics of Pandas - Part 2
Module 16: Understanding the CSV Data File
Module 17: Load and Read CSV Data File Using Python Standard Library
Module 18: Load and Read CSV Data File Using NumPy
Module 19: Load and Read CSV Data File Using Pandas
Module 20: Dataset Summary - Peek, Dimensions, and Data Types
Module 21: Dataset Summary - Class Distribution and Data Summary
Module 22: Dataset Summary - Explaining Correlation
Module 23: Dataset Summary - Explaining Skewness - Gaussian and Normal Curve
Module 24: Dataset Visualization - Using Histograms
Module 25: Dataset Visualization - Using Density Plots
Module 26: Dataset Visualization - Box and Whisker Plots
Module 27: Multivariate Dataset Visualization - Correlation Plots
Module 28: Multivariate Dataset Visualization - Scatter Plots
Module 29: Data Preparation (Pre-Processing) - Introduction
Module 30: Data Preparation - Re-scaling Data - Part 1
Module 31: Data Preparation - Re-scaling Data - Part 2
Module 32: Data Preparation - Standardizing Data - Part 1
Module 33: Data Preparation - Standardizing Data - Part 2
Module 34: Data Preparation - Normalizing Data
Module 35: Data Preparation - Binarizing Data
Module 36: Feature Selection - Introduction
Module 37: Feature Selection - Uni-variate Part 1 - Chi-Squared Test
Module 38: Feature Selection - Uni-variate Part 2 - Chi-Squared Test
Module 39: Feature Selection - Recursive Feature Elimination

……...And more.

Cost: 9.99 GBP

Duration: Upto 10 Hours

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Data Science & Machine Learning - IOMH - Institute of Mental Health , Online,United Kingdom