What are the real world applications of machine learning? скачать в хорошем качестве

What are the real world applications of machine learning?

Welcome to this complete Machine Learning Course Series specially designed for III Year Engineering Students (ECE / CSE) and beginners in AI & ML. In this playlist, you will learn Machine Learning step-by-step from fundamentals to advanced concepts based strictly on university syllabus: 📌 UNIT-1: Introduction to Machine Learning • What is Machine Learning • Traditional vs ML approach • Types of ML (Supervised, Unsupervised, Reinforcement) • Data Types & ML Workflow • Applications of ML • Python tools: NumPy, Pandas, Scikit-learn, Matplotlib 📌 UNIT-2: Exploratory Data Analysis (EDA) • Data Cleaning & Preprocessing • Missing values, Outliers • Feature Scaling & Transformation • PCA • Feature Engineering • One-Hot Encoding • Automatic Feature Selection 📌 UNIT-3: Supervised Learning • Classification vs Regression • KNN, Logistic Regression, Naive Bayes • Decision Trees, Random Forest • AdaBoost, Gradient Boosting • Support Vector Machine (SVM) • Linear, Ridge, Lasso & Polynomial Regression 📌 UNIT-4: Unsupervised Learning • Clustering Concepts • K-Means • Hierarchical Clustering • DBSCAN • Hard vs Soft Clustering 📌 UNIT-5: Model Evaluation & Visualization • Confusion Matrix • Accuracy, Precision, Recall, F1-Score • ROC Curve • MSE, RMSE, MAE, R² • Cross Validation • Grid Search • Data Visualization (Histogram, Boxplot, Heatmap, Scatter Plot) 🎯 Perfect for: ✔ Semester exams ✔ Interview preparation ✔ Beginners in ML ✔ Final year projects ✔ Research scholars If you like this content, Subscribe, Like, and Share with your classmates! #machinelearning #machinelearningfullcourse #machinelearningengineering #machinelearningece #machinelearningcse #mlcourse #mlforbeginners #mlengineering #mluniversitysyllabus #mlpython #pythonmachinelearning #aiengineering #artificialintelligence #datascience #datascienceforengineers #engineeringstudents #ece #cse #btech #collegelectures #machinelearningsyllabus #machinelearningunitwise #machinelearningnotes #machinelearningplaylist #exploratorydataanalysis #eda #supervisedlearning #unsupervisedlearning #kmeansclustering #decisiontree #randomforest #svm #logisticregression #naivebayes #gradientboosting #adaboost #machinelearningregression #machinelearningclassification #modelevaluation #confusionmatrix #roccurve #featureengineering #datapreprocessing #machinelearningprojects #finalyearprojects #mlinterview #machinelearningmatlab #scikitlearn #engineeringml #indianengineering #mltamil #mltelugu #mlhindi #exampreparation #mlcompletecourse