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1) PYTHON PROGRAMMING TOPICS: Simple Programming Tasks And Projects Object-Oriented Programming (OOP) Data Structure And Algorithm Dynamic Programing Logical And Scenario-Based Tasks GUI Based Applications Web Scrapping Projects 2) ARTIFICIAL INTELLIGENCE AI: Agents And Environments Informed And Uninformed Searching Strategies Best-First Search Greedy Best-First Search A* Search Heuristics Local Search Algorithms Hill-Climbing Search Simulated Annealing Search Local Beam Search Genetic Algorithms Constraint Satisfaction Problems (Csps) 3) MACHINE LEARNING: Regression Trees And Random Forests Linear And Polynomial Regression Support Vector Machines Ridge Regression Lasso Regression Elasticnet Regression Logistic Regression. K-Nearest Neighbors. Naive Bayes. 4) DEEP LEARNING TOPICS: Building Neural Network From Scratch 5) Models & Methods: Machine Learning Deep Learning Neural Networks Supervised Learning Unsupervised Learning Decision Trees Cluster Computing Linear Regression Classification Models Churn 6) Technology: Python TensorFlow PyTorch OpenCV Keras Colab 7) Expertise: Image Processing Image Recognition Face Recognition OCR ALPR Image Segmentation Object Detection Image Tagging Other Don't be confuse about topics just send me a task or project I will do my best

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1) PYTHON PROGRAMMING TOPICS: Simple Programming Tasks And Projects Object-Oriented Programming (OOP) Data Structure And Algorithm Dynamic Programing Logical And Scenario-Based Tasks GUI Based Applications Web Scrapping Projects 2) ARTIFICIAL INTELLIGENCE AI: Agents And Environments Informed And Uninformed Searching Strategies Best-First Search Greedy Best-First Search A* Search Heuristics Local Search Algorithms Hill-Climbing Search Simulated Annealing Search Local Beam Search Genetic Algorithms Constraint Satisfaction Problems (Csps) 3) MACHINE LEARNING: Regression Trees And Random Forests Linear And Polynomial Regression Support Vector Machines Ridge Regression Lasso Regression Elasticnet Regression Logistic Regression. K-Nearest Neighbors. Naive Bayes. 4) DEEP LEARNING TOPICS: Building Neural Network From Scratch 5) Models & Methods: Machine Learning Deep Learning Neural Networks Supervised Learning Unsupervised Learning Decision Trees Cluster Computing Linear Regression Classification Models Churn 6) Technology: Python TensorFlow PyTorch OpenCV Keras Colab 7) Expertise: Image Processing Image Recognition Face Recognition OCR ALPR Image Segmentation Object Detection Image Tagging Other Don't be confuse about topics just send me a task or project I will do my best

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AlgorithmseLearning ConsultingMachine LearningMathematicsMATLABMicrosoft ExcelProgrammingPythonRegression Testing

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