Data Cleaning and Preprocessing in Machine Learning

Journey into Machine Learning with Sklearn and TensorflowData Cleaning and Preprocessing in Machine Learning

Explore essential machine learning preparation using the Titanic Dataset. Gain skills in cleaning and preprocessing historical data with Python and Pandas, readying it for ML models and accurate analytics.

Lessons and practices

Lesson 1: Data Preprocessing: The Titanic Dataset Exploration

Data Preprocessing with the Titanic Dataset

Adjust Filtering to Age and Fare

Debug the Titanic Dataset Loading Code

Lesson 2: Wrangling Missing Data: Techniques Applied to the Titanic Dataset

Handle Missing Data in the Titanic Dataset

Update Titanic Dataset Handling Missing Data Code

Something is missing

Data Cleaning in Titanic Dataset

Lesson 3: Outlier Detection and Handling in the Titanic Dataset

Should we change the threshold?

Detecting Outliers in Titanic Dataset Using Standard Diviation

Detecting Outliers in Titanic Dataset Using IQR method

Identifying and Handling Outliers using the IQR Method

Lesson 4: Data Transformation with the Titanic Dataset

Applying MinMaxScaler to Multiple Features

Applying One-Hot Encoding to Categorical Features

Applying MinMaxScaler and One-Hot Encoding To Features

Lesson 5: Data Preprocessing: Mastering Normalization and Standardization Techniques

Normalize the 'age' Column in the Titanic Dataset

Standardize the 'fare' Column with NaN values in the Titanic Dataset

Normalize and Standardize 'age' and 'fare' Columns with Missing Values in the Titanic Dataset

Standardize on your own

Lesson 6: Feature Engineering: Enhancing the Titanic Dataset for Survival Predictions

Implement Log Transformation on 'fare’ Feature

Implement Binary Encoding on 'embark_town' Feature

Implement Log Transformation on 'fare’ Feature

Implement One-Hot Encoding on 'class' Feature

Lesson 7: Training a Machine Learning Model with the Titanic Dataset

Preprocessing Train and Test data with the Titanic Dataset

Fix the Titanic Machine Learning Model

Evaluating the Titanic Machine Learning Model with a Different Metric

Understanding Feature Importance in the Titanic Logistic Regression Model

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