Machine Learning Projects

Machine Learning projects offer a structured learning path for aspiring data scientists and AI enthusiasts. Our curriculum covers key ML algorithms and techniques, providing hands - on experience with real datasets. Participate in practical exercises and build actual machine learning models through guided projects. The online playground enables you to experiment with various ML libraries, helping you acquire skills for real - world AI challenges.

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Machine Learning Projects

Deploying MobileNet With TensorFlow.js and Flask

Deploying a Simple TensorFlow Model

Classifying Iris Using SVM

Balanced Batch Generation for Imbalanced Datasets

Simple Handwritten Character Recognition Classifier

Implementation of Polynomial Regression

Implementing Minkowski Distance Metric

Nonlinear Regression Model Estimation

Linear Regression Fitting and Plotting

K-Nearest Neighbors Regression Algorithm Implementation

Optimizing Gradient Descent for Global Optimization

Encoding Label to One-Hot

Early Stopping for Machine Learning

Divide Dataset Into Mini-Batches

Data Cleaning and Purification with Python