Algorithm development and implementation
Clustering, Classification, and Regression
Unsupervised learning algorithms.
hyperparameters tuning of machine learning algorithms
Random Forest, Logistic Regression, Linear Regression, Decision Trees, SVM
Time series analysis and other forecasting models
Data cleaning Feature Engineering Data Visualization Exploratory Data Analysis Dimensionality Reduction Data Preprocessing Dealing with missing data Data imputation Handling categorical data Encoding class labels for classification problems
Deep Learning Neural Network Natural language processing (NLP) Convolutional neural network (CNN) Web scraping Image processing
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