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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.
Dive into machine learning fundamentals through advanced deep learning, mastering data preprocessing, model optimization, and neural networks using real-world datasets with Sklearn and Tensorflow frameworks.
Master text classification techniques from data preparation to advanced modeling, including feature engineering, algorithm implementation, and deep learning optimization with TensorFlow.
Master clustering algorithms and validation techniques for unsupervised machine learning, from K-means and DBSCAN to hierarchical methods and performance metrics.
Master machine learning fundamentals using SciKit-learn, from data preprocessing through advanced model evaluation, including regression, classification, ensemble methods and hyperparameter tuning.
Master data science fundamentals through hands-on practice with diamonds data - from exploratory analysis and cleaning to feature engineering and regression modeling using Python tools.
Explore genomic data clustering techniques for gene expression analysis and human migration patterns. Learn algorithms for data point grouping and dimensionality reduction using principal components analysis.
Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.
Analyze Yelp restaurant reviews to discover insights on cuisines, popular dishes, and dining recommendations. Apply data mining techniques to visualize opinions and construct cuisine maps.
Discover patterns in large-scale datasets through key data mining concepts and techniques. Learn data preprocessing, modeling, frequent pattern analysis, classification, clustering, and gain hands-on project experience.
Analyze financial loan data to guide investment decisions through data preprocessing, predictive analytics, prescriptive analytics, and result presentation for optimal portfolio allocation.
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
Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python
Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
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