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YouTube

Machine Learning Data Pre-processing and Data Wrangling Using Python

The AI University via YouTube

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
This course aims to teach learners the fundamentals of data pre-processing and data wrangling using Python for machine learning applications. By the end of the course, students will be able to handle missing data, encode categorical variables, split data for training and testing, scale features, detect and treat outliers, and manipulate datasets using Python libraries such as Pandas. The teaching method includes detailed tutorials and hands-on exercises. This course is designed for aspiring data scientists, machine learning enthusiasts, and anyone interested in mastering data preparation techniques using Python.

Syllabus

1.Introduction to Python libraries(Data Scientist's arsenal).
2.Introduction to Python Datasets (.csv files).
3.Dataset Missing Values & Imputation (Detailed Python Tutorial) | Impute Missing values in ML.
4.One Hot Encoding to process Categorical variables (Python) | Process Categorical Features.
5.Split data into Training and Test set in Data Science (Python) | Train Test Split function in ML.
6.Feature Scaling in Machine Learning(Normalization & Standardization) | Feature Scaling Sklearn.
7.Outlier Detection and Treatment using Python - Part 1 | How to Detect outliers in Machine Learning.
8.Outlier Detection and Treatment using Python - Part 2 | How to Detect outliers in Machine Learning.
9.Outlier Detection and Treatment using Python - Part 3 | How to Detect outliers in Machine Learning.
Log Transformation for Outliers | Convert Skewed data to Normal Distribution.
Outlier Treatment through Square Root Transformation | Convert Skewed data to Normal Distribution.
Python Pandas Tutorial - Adding & Dropping columns (Machine Learning).
Create Pivot table using pandas DataFrame (Python).
Use Regular Expression to split string into Dataframe columns (Pandas).
Python Pandas Tutorial Series: Using Map, Apply and Applymap.
Python Pandas Tutorial - Merge Dataframes (Machine Learning).

Taught by

The AI University

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