Play all

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)

Description:

Dive into a comprehensive 4.5-hour tutorial on machine learning data pre-processing and data wrangling using Python. Explore essential Python libraries for data science, learn to handle missing values and perform imputation, and master techniques like one-hot encoding for categorical variables. Discover how to split data into training and test sets, apply feature scaling methods, and detect and treat outliers. Gain proficiency in log and square root transformations for normalizing skewed data, and learn to manipulate DataFrames using Pandas, including adding and dropping columns, creating pivot tables, and merging datasets. Master the use of regular expressions for string manipulation and explore advanced Pandas functions like map, apply, and applymap to enhance your data wrangling skills.

Machine Learning Data Pre-processing and Data Wrangling Using Python

The AI University

Add to list

#Computer Science #Machine Learning #Programming #Programming Languages #Python #pandas #Data Science #Data Wrangling #Data Analysis #Anomaly Detection #Outlier Detection