Machine Learning Course

Machine Learning course is offered by QuickXpert Infotech. Get Certified from Best Machine Learning Training Institute QuickXpert Infotech known for Quality Training in Reasonable Fees and Placements!

Syllabus:

• Machine Learning Examples
• Introduction to Machine Learning & Data Analysis
• Machine Learning Examples
• Statistics & Exploratory Data Analysis (EDA)
• Descriptive Statistics
• Descriptive Analytics
• Measure of Central Tendency
• Dispersion
• Probability Distribution
• Correlation & Covariance
• Inferential Statistics
• Diagnostic Analytics
• Outliers | Missing Values
• Sparsity
• Inferential Statistics
• Random Sampling
• Hypothesis Testing 
• Supervised Learning
• Installing & Using Scikit-Learn Package
• Linear Regression
• Multi-Linear Regression
• Decision Tree (CART)
• Ensemble Learning
• Random Forest
• xgBoost
• K Nearest Neighbors (KNN)
• Support Vector Machine (SVM)
• Kernel Functions
• Naive Bayes Classifier (NBC) / MultinomialNB Algorithm
• GRID SEARCH CV AND RANDOM SEARCG CV
• Linear Discriminant Analysis (LDA)
• Unsupervised Learning
• Hierachical Clustering
• K Means Clustering
• Dimensionality Reduction
• Principal Component Analysis (PCA)
• Time Series Forecasting
• Time Series Data
• Trend Chart
• Stationarity
• Seasonality
• Moving Average
• Exponential Smoothing
• ARIMA
• GARCH 
• Model Improvement & Validation
• Regularization
• Lasso
• Ridge
• ElasticNet
• Cross Validation 
• Methods
• Sigmoid Function
• Entropy
• Information Gain
• Gini Index
• Feature Selection
• Ensemble Modeling (Bagging | Boosting | Stacking)
• K Selection / Distance Metrics
• Kernel Functions
• Elbow Method
• Metrics
• MAE / MSE/ RMSE / R2 and Adjusted R2
• AUC ROC CURVE
• Precision
• Recall
• F1 score
• Confusion Metrics
• Only Theory
• SMOTE and near miss
• EXTRA TREE CLASSIFIER (Random forest)
• TPOT
• LOG LOSS
• CROSS VALIDATION
• KERNAL PCA
• LIGHT GBM and cat boosting
• DBSCAN
• MINI BATCH K MEANS
• Passive Aggressive Classifier Algorithm
• Facebook Prophet
• time series RNN LSTM
• When to Use Which Algorithms!
• Projects / Case Studies
• 1) Real Estate Price Prediction
• 2) Fraud Detection Problem in BFSI domain
• 3) Disease Detection in Healthcare domain
• 4) Market Segmentation in Advertising Sector
• 5) Market Basket Analysis in Departmental Sector
• 6) Passenger Forecasting in Aviation Sector
• 7) News Classification in Media Sector
• 8) Dashboard (Visualization Tool)
• Please Note - Case studies / projects changes from time to time and will be covered along with their respective modules.