MACHINE LEARNING COURSE

WinProSys’s Machine Learning course equips learners with essential skills to develop algorithms and apply ML techniques to solve real-world problems across various domains and industries.

WinProSys

WinProSys

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Build Intelligent Systems

with Real-World ML Applications

WinProSys’s Machine Learning course trains you to design, build, and apply ML models to uncover patterns, make predictions, and automate decisions.

 

Hands-on
Training

Work on real-world datasets using Python, Scikit-learn, TensorFlow, and other ML tools.

Industry-Based Training

Learn machine learning techniques aligned with modern business and tech industry requirements.

Experienced
Experts

Gain insights from professionals with practical experience in machine learning projects and AI applications.

Placement Opportunities

Get career support and connect with recruiters seeking skilled machine learning professionals.

Years of Experience
+
Projects Completed
+
Placements Done
+
Students Trained
+

Limited Students Batch

Live Projects

Personalised Attention

Career Support

Highly Qualified Experts

Job Oriented Training

Flexible Batch Timings

Interactive Learning

Our Candidates Placed

Our candidates are placed at top-rated companies across various industries. At WinProSys, we ensure skill-matching and career growth by connecting talented professionals with leading employers for long-term success.

Course Curriculum

  • Definition of machine learning and its significance
  • Types of machine learning
  1. Matplotlib
  2. Seaborn
  3. Plotly
  4. Final EDA Project
  1. Linear Regression
  2. Logistic Regression
  3. Gradient Boosting
  4. Decision Tree
  5. Time Series
  6. Final Project
  1. CNN
  2. LSTM
  3. RNN
  4.  Reinforcement Learning
  5. Final Project
  1. Regression
  2. Logistic regression
  3. decision trees
  4. support vector machines
  1. Basics of artificial neural networks (ANNs)
  2. Deep learning architectures: convolutional neural networks (CNNs)
  3. Recurrent neural networks (RNNs)
  4. deep learning frameworks
  1. Text preprocessing and tokenization
  2. Sentiment analysis
  1. Strategies for deploying machine learning models in production
  2. Containerization and cloud deployment

Professional Certificate

Beginner level

No previous experience necessary

Course Session

25 Days 1 Hours per day

Flexible schedule

Learn at your own pace

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Course Key Features

You'll gain a solid understanding of fundamental machine learning concepts, including supervised learning, unsupervised learning, reinforcement learning, and deep learning You'll learn how to clean, preprocess, and transform data, which is a critical step in preparing data for machine learning models Creating clear and concise reports and dashboards to communicate findings to stakeholders

Skills Covered

Deep Learning
Hyperparameter Tuning
Reinforcement Learning

Job Roles

Machine Learning Engineer
Data Scientist
Computer Vision Engineer

Quick Response

WinProSys ensures quick response times, addressing client queries and technical issues promptly for seamless project continuity.

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