Eklort Services

Machine Learning Course Training In Noida

Machine Learning Course Training In Noida​

Best Machine Learning Course Training In Noida​- 100% Job Oriented Course

Ranked #1 Best Institute in India

Machine Learning Course Training In Noida​​

Machine Learning Course Syllabus for Eklort Services

  • Chapter 1: Understanding Machine Learning

    • What is Machine Learning?
    • History and evolution of Machine Learning
    • Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
    • Applications of Machine Learning in various industries
    • Career opportunities in Machine Learning
  • Introduction to Python
  • Setting up the Python environment (Anaconda, Jupyter)
  • Python syntax and basic operations
  • Libraries for ML: NumPy, Pandas, Matplotlib
  •  
  • Types of data: Structured and Unstructured
  • Handling missing data
  • Encoding categorical data
  • Data normalization and standardization
  • Descriptive statistics
  • Visualizing data using Matplotlib and Seaborn
  • Feature selection and engineering
  • Linear Regression
  • Polynomial Regression
  • Ridge and Lasso Regression
  • Evaluation metrics for regression: MSE, RMSE, R²
  1. Logistic Regression
  2. Decision Trees
  3. Random Forest Classifier
  4. Support Vector Machines (SVM)
  5. K-Nearest Neighbors (KNN)
  6. Model evaluation metrics: Confusion Matrix, Precision, Recall, F1-Score
  • K-Means Clustering
    • Hierarchical Clustering
    • DBSCAN (Density-Based Spatial Clustering)
    1. Principal Component Analaysis (PCA)
    2. Singular Value Decomposition (SVD)
    3. t-SNE for data visualization
    1. Microservices Architecture with Spring Boot
    2. Docker and Containerization for Java Applications
    3. Cloud Deployment (AWS, Azure, Google Cloud)
    4. Reactive Programming with Spring WebFlux
    1. Basics of neural networks and their architecture
    2. Introduction to Deep Learning
    3. Building simple Neural Networks using Keras and TensorFlow
    4. Activation functions and backpropagation
  • Text preprocessing: Tokenization, Lemmatization
  • Sentiment Analysis
  • Bag of Words, TF-IDF, Word2Vec
  • Building a text classifier
    1. Understanding time series data
    2. ARIMA models
    3. Seasonal Decomposition
    4. Forecasting future trends
  • Hyperparameter tuning with GridSearchCV
  • Cross-validation techniques
  • Avoiding overfitting and underfitting
  • Deploying models with Flask and Heroku
  • Introduction to cloud deployment (AWS, GCP)
  • Monitoring model performance in real-time
    1. Build a machine learning model for real-world applications (Healthcare, Finance, Retail, etc.)
    2. Work on end-to-end ML projects, from data collection to deployment
    3. Case studies of successful machine learning implementations in various industries
Certification & Assessments
  • Weekly assignments and quizzes
  • Final project assessment
  • Certification of completion from Eklort
Machine Learning Course in Noida

Perks of the program

Course Fee

₹ 29,999/-

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