Machine Learning Overview

Step into the exciting world of Machine Learning , where machines adapt and improve through experience. Ecareerpluz offers a comprehensive course tailored for beginners and professionals, equipping them to create intelligent solutions for real-world challenges. +91 98433 09040

Whether your goal is to become a Data Scientist, AI Specialist, or Machine Learning Engineer, this course provides a robust foundation paired with practical, hands-on experience to help you thrive in the ever-evolving tech landscape.

Your Gateway to Machine Learning Excellence

Skill Development

Expert Faculty

Learn from experienced trainers with real-world industry expertise

Expert Tutors

Comprehensive Curriculum

Covers all major topics, from basics to advanced, including Python, algorithms, and deep learning.

Quality Training

Hands-On Learning

Gain practical knowledge with live projects and real-world case studies.

Flexible Learning Paths

Flexible Options

Choose between online and offline classes to match your schedule.

Hands-on learning

Affordable Fees

Get top-quality training without breaking the bank.

Real-Time Projects

Job Placement Support

Assistance in building your resume and preparing for interviews.

Upcoming Machine Learning Batches

Machine Learning Course Syllabus

  • Overview of AI and ML
  • Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
  • Key Terminologies and Concepts in ML
  • Introduction to Python and Libraries (NumPy, Pandas, Matplotlib)
  • Data Structures and Algorithms in Python
  • Handling and Visualizing Data with Python
  • Data Cleaning and Transformation
  • Handling Missing Data and Outliers
  • Feature Engineering and Feature Scaling
  • Data Visualization Techniques
  • Linear Regression and Logistic Regression
  • Decision Trees and Random Forests
  • K-Nearest Neighbors (KNN)
  • Support Vector Machines (SVM)
  • Model Evaluation Metrics (Accuracy, Precision, Recall, F1-Score)
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Anomaly Detection
  • Introduction to Neural Networks
  • Building a Simple Neural Network using Keras
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Hyperparameter Tuning
  • Cross-Validation and Grid Search
  • Handling Overfitting and Underfitting
  • Natural Language Processing (NLP)
  • Reinforcement Learning Basics
  • Time Series Analysis
  • Introduction to TensorFlow and PyTorch
  • Case Studies and Industry Applications
  • Predictive Modeling, Fraud Detection, and Image Recognition
  • End-to-End Machine Learning Project
  • Model Deployment and Evaluation

Enquiry Now

Learn from experienced trainers with real-world industry expertise.

Covers all major topics, from basics to advanced, including Python, algorithms, and deep learning.

Gain practical knowledge with live projects and real-world case studies.

Choose between online and offline classes to match your schedule.

Get top-quality training without breaking the bank.

Assistance in building your resume and preparing for interviews.

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Why Ecareerpluz is the Best Choice for You?

  • Our course is designed to meet the latest trends and demands in the Machine Learning industry.
  • We almost focus on real-world applications with hands-on projects, case studies, and live datasets.
  • You can learn from top experts with extensive industry and academic experience in AI and ML.
  • Get one-on-one guidance and support to resolve doubts and accelerate your learning.
  • Providing lifetime access to course materials, tools, and recorded sessions.
  • Get knowledge of resume building, interview preparation, and placement support to kickstart your career.

What You Will Learn from eCareerpluz?

  • We cover fundamental to advanced Machine Learning concepts, ensuring you’re industry-ready.
  • You can upgrade your knowledge to real-world datasets and complete practical assignments for better understanding.
  • Learn directly from experienced ML professionals with real industry insights.
  • Access coding exercises, quizzes, and visual aids to make learning engaging and effective.
  • Choose flexible learning modes that suit your schedule, either online or offline.
  • Receive a recognized certificate after course completion and gain access to job placement assistance and mentorship.