Machine Learning Certification Course 2022 For Beginners Analytics Vidhya star
Earn Money With Machine Learning
In this free machine learning certification course, you will learn Python, the basics of machine learning, how to build machine learning models, and feature engineering techniques to improve the performance of your machine learning models.
What is Machine Learning?
Machine Learning is the science of teaching machines how to learn by themselves. Machine Learning is re-shaping and revolutionizing the world and disrupting industries and job functions globally.
Machine learning is so extensive that you probably use it numerous times a day without even knowing it. From unlocking your mobile phones using your face to giving your attendance using a biometric machine, machine learning is being used in almost every stage.
In this age of machine learning, every aspiring data scientist is expected to upskill themselves in machine learning techniques & tools and apply them in real-world business problems.
What will I learn from this course?
- Python libraries like Numpy, Pandas, etc. to analyze your data efficiently.
- Importance of Statistics and Exploratory Data Analysis (EDA) in the data science field.
- Linear Regression, Logistic Regression, and Decision Trees for building machine learning models.
- Understand how to solve Classification and Regression problems using machine learning
- How to evaluate your machine learning models using the right evaluation metrics?
- Improve and enhance your machine learning model’s accuracy through feature engineering
Prerequisites for the Free Machine Learning Certification Course for Beginners
- This course requires no prior knowledge about Data Science or any tool.
Machine Learning course syllabus
In this free machine learning course, we will be covering the following topics:
- Python for Data Science
- Importance of Statistics and EDA
- Basics of Machine Learning
- Evaluation Metrics for Machine Learning models
- Feature Engineering techniques
Course curriculum
- 2
Introduction to Data Science and Machine Learning
- 3
Setting up your system
- 4
Introduction to Python
- 5
Variables and Data Types
- 6
Operators
- 7
Conditional Statements
- 8
Looping Constructs
- 9
Data Structures
- 10
String Manipulation
- 11
Functions
- 12
Modules, Packages and Standard Libraries
- 13
Handling Text Files in Python
- 14
Introduction to Python Libraries for Data Science
- 15
Python Libraries for Data Science
- 16
Reading Data Files in Python
- 17
Preprocessing, Subsetting and Modifying Pandas Dataframes
- 18
Sorting and Aggregating Data in Pandas
- 19
Visualizing Patterns and Trends in Data
- 20
Machine Learning Lifecycle
- 21
Problem statement and Hypothesis Generation
- 22
Importance of Stats and EDA
- 23
Build Your First Predictive Model
- 24
Evaluation Metrics
- 25
Preprocessing Data
- 26
Build Your First ML Model: k-NN
- 27
Selecting the Right Model
- 28
Linear Models
- 29
Project: Customer Churn Prediction
- 30
Decision Tree
- 31
Feature Engineering
- 32
Project: NYC Taxi Trip Duration prediction
Link Is Here : Machine Learning Certificate Free Course For Beginers 2022
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