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Learn Data Preprocessing, earn certificates with free online courses from Johns Hopkins, UC San Diego, Georgia Tech, University of Illinois and other top universities around the world. Read reviews to decide if a class is right for you.
Explore key steps in data mining: understanding, preprocessing, warehousing, modeling, interpretation, and real-world applications. Gain practical skills for effective data analysis and decision-making.
Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python
Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
Build an ANN Regression model to predict the electrical energy output of a Combined Cycle Power Plant
Detect breast cancer using logistic regression. Build a model to predict tumor malignancy based on 9 variables. Learn data preprocessing, model training, and evaluation using Google Colab.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more.
Create new features to improve the performance of your Machine Learning models.
Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics
Learn to segment customers using Python, from cohort analysis to k-means clustering. Apply real-world techniques on actual retail data to gain insights and create actionable customer segments.
Explore feature engineering techniques to enhance ML model accuracy using Vertex AI, BigQuery ML, Keras, and TensorFlow. Learn data preprocessing, feature creation, and advanced practices.
Explore semantic analysis of movie reviews using BERT, covering data preprocessing, model building, and evaluation in Google Colab. Learn practical NLP skills with Python and Ktrain.
Explore enterprise ML workflow, data management, and model building options using Google Cloud tools. Learn custom training, hyperparameter tuning, and best practices for ML development.
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