Course Includes
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Live Lectures: 24 -
Live Hours: 40
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Duration:
2 months (Avg)
Course Features
Access on mobile
TDP Assessment Test
Top Skills Covered
Overview
Course Description
Welcome to LogicPro InfoSystems - Your Gateway to Machine Learning Mastery with Python!
Explore the exciting world of machine learning and data science with our immersive training program, designed to equip participants with the knowledge and skills to harness the power of Python for building intelligent systems and predictive models.
Why Choose Machine Learning Training with Python at LogicPro InfoSystems?
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Comprehensive Curriculum: Our Machine Learning Training program covers a comprehensive curriculum, encompassing key concepts in machine learning, data preprocessing, model evaluation, and deployment using Python libraries such as Scikit-learn, TensorFlow, and Keras.
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Hands-On Learning: Dive into practical hands-on exercises, projects, and case studies that allow participants to apply machine learning algorithms and techniques to real-world datasets. Gain valuable experience in data analysis, feature engineering, model training, and evaluation.
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Expert Instructors: Learn from industry experts and seasoned data scientists who bring years of practical experience and expertise to the classroom. Our instructors provide personalized guidance and mentorship to help participants succeed in their machine learning journey.
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Project-Based Approach: Develop a portfolio of machine learning projects, including supervised and unsupervised learning tasks, regression and classification problems, natural language processing (NLP) projects, and computer vision applications.
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Career Support: Benefit from our career support services, including resume building, interview preparation, and job placement assistance. We're committed to helping participants explore career opportunities in data science, machine learning engineering, and related fields.
Key Components of Our Machine Learning Training with Python:
- Introduction to Python for Data Science
- Data Preprocessing and Exploratory Data Analysis (EDA)
- Supervised Learning: Regression and Classification Algorithms
- Unsupervised Learning: Clustering and Dimensionality Reduction Techniques
- Deep Learning Fundamentals with TensorFlow and Keras
- Natural Language Processing (NLP) and Text Analytics
- Computer Vision and Image Recognition
- Model Evaluation, Hyperparameter Tuning, and Model Deployment
Who Can Benefit from Machine Learning Training with Python?
- Students and Graduates
- Data Analysts and Business Analysts
- Software Developers and Engineers
- IT Professionals Seeking Career Transition to Data Science
- Entrepreneurs and Tech Enthusiasts
Enroll Today for Machine Learning Training with Python!
Ready to embark on a transformative journey in machine learning and data science? Enroll in our Machine Learning Training program and unleash your potential as a proficient data scientist and machine learning engineer with Python. LogicPro InfoSystems is your trusted partner in building a successful career in data-driven technologies.
Empower your future with Machine Learning Training using Python at LogicPro InfoSystems - Where Innovation Meets Intelligence!
What you'll learn
- Acquire valuable skills in developing predictive models, analyzing data, deriving actionable insights and building intelligent systems.
- Master essential Python libraries and frameworks for machine learning, including Scikit-learn, TensorFlow, and Keras.
- Gain proficiency in data preprocessing, feature engineering, model evaluation, and deployment strategies.
- Build a portfolio of machine learning projects and showcase their expertise to potential employers.
- Explore career opportunities in data science, machine learning engineering, and related fields, equipped with practical skills and industry-relevant knowledge.
Requirements
- Students must have Dektop/Laptop with atleast 4GB Ram and Processor above I3 or equivalent.
- A high-speed Internet Connectivity
Course Content
40:00 Total hours
Live Class Text Content
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Introduction of Python -
Python Datatypes
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Python Classes
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Python Regular Expressions
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Introduction of Data Mining
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Data Preprocessing
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Regression Analysis
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Linear Regression and Logistic Regression
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Classification Algorithms
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Prediction
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Bayesian Classification Models
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Association rules
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Neural Network
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Perceptron
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MLP
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Support Vector Machine
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Introduction to Anaconda Distribution
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Working on Various Python Library
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Data Structures in Python: Numpy
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Data Analysis Using Pandas
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Modeling using Regression
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Creating a Clustering Model
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Working on Iris Data Set
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Boston Housing Price Prediction
