Machine Learning Training institute in Nerul
Advanced Certification

Advanced Certification in Machine Learning

Unleash the power of Python, at the heart of Machine Learning, and explore its potential by turning your ideas into innovative solutions. Start your ML journey with us today! Rev up your career with our top-class Machine Learning Course in Nerul, Navi Mumbai by YuHasPro IT. Start with the basics and work your way up to cutting-edge Machine Learning techniques

Advanced Certification Course in Machine Learning
  • OVERVIEW
  • CURRICULAM
  • WHY YUHASPRO ?
  • CERTIFICATION
  • JOB OPPORTUNITES

What drives the technology revolution happening today is Machine Learning, making industries leap ahead through intelligent systems and the power of data.

YuHasPro IT is the top institute for Machine Learning classes in Nerul, Navi Mumbai with a full course curriculum supported by expert training and strong placement support. Ready to kick-start your career in this exciting field? With salary packages ranging from 5L to 20L (Source: AmbitionBox), your future in Machine Learning is just a course away.

Who Can Take this Course?
  • Tech Enthusiasts & Beginners: Passionate about technology, data, and Machine Learning? This course is ideal even if you're starting from scratch
  • University Students: Master the ML algorithms and data science techniques that give you an edge over your peers in academics.
  • Data Professionals: Take your career to the next level by becoming an expert in machine learning models, data analytics, and AI-driven decision-making.
  • Database Professionals: Enhance your skills to monitor, refine and scale machine learning systems with data-intense solutions.
Pre-Requisites
  • Desire for Machine Learning and a passion for coding and technology
  • Understanding of algebra, statistics, and arithmetic functions
  • Problem-solving ability with a proper logical conclusion
  • Have never coded? No issue because this course is meant for people willing to learn machine learning from scratch
  • Wish to work with data in pattern extraction and innovative solution-building
  • Basic programming knowledge is advantageous but not required
Program Highlights
  • The curriculum starts with the basics of Python through advanced Machine Learning techniques on topics like data preprocessing, building models, and optimizing for the best results.
  • Live projects with real datasets and coding problems to support practical application skills.
  • Advanced modules for algorithm-specific ML, model evaluations, and deployment.
  • All essential ML libraries and tools will be mastered, such as Scikit-learn, TensorFlow, Keras, Pandas, NumPy, and Matplotlib.
  • Earn a recognized Machine Learning certification upon successful completion of the course.

Ready to unlock your potential? Join YuHasPro IT and become a Machine Learning expert, guided by experienced instructors with real-world expertise. From Zero to Machine Learning pro - your career starts here!

For more details visit our website and enroll today - your dream job in Machine Learning is waiting!

  • Descriptive statistics: Measure of Central Tendency, Measure of Dispersion, Measure of Shape
  • Probability and sampling: Conditional probability, Bayes theorem
  • Probability Distribution
  • Hypothesis Test

  • Introduction to Machine Learning
  • Types of Machine learning
  • Application of Machine Learning

  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn

  • Introduction to Linear Regression
  • Understanding Ordinary Least Squares
  • Cost Functions
  • Gradient Descent
  • Implementation with Scikit-learn
  • Residual Plots
  • Bias Variance
  • Regularization Overview
  • Feature Scaling
  • Introduction to Cross Validation
  • Linear Regression Capstone Project

  • Introduction to Logistic Regression
  • The Logistic Function
  • Linear to Logistic
  • Linear to Logistic Math
  • Best Fit with Maximum Likelihood
  • Logistic Regression EDA and Model Training
  • Confusion Matrix and Accuracy
  • Classification Matrix: Precision, Recall, F1 Score
  • ROC Curves
  • Logistic Regression Performance Evaluation
  • Multiclass Classification with Logistic Regression
  • Logistic Regression Capstone Project

  • K-Nearest Neighbors
  • Concept and Theory
  • Distance Functions: Euclidean, Murkowski
  • Why Should We Use KNN?
  • Mathematical Approach
  • Dataset with Problem Description
  • Practical Application on Python
  • KNN Capstone Project

  • Introduction to Tree-Based Methods
  • History and Terminology
  • Understanding Gini Impurity
  • Constructing Decision Tree with Gini Impurity
  • Implementation of Decision Tree
  • Decision Tree Capstone Project

  • Random Forest Introduction
  • Random Forest Key Hyperparameters
  • Number of Features and Estimators in Subset
  • Bootstrapping and Out-of-Bag Error
  • Classification Using Random Forest on Python
  • Regression Using Random Forest on Python
  • Random Forest Capstone Project

  • Introduction to Boosting
  • Boosting Methods
  • AdaBoost theory and implementation
  • Gradient Boosting theory and implementation

  • 19 Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods

  • Introduction to NLP and Naive Bayes Section Theory of classification
  • Naive Bayes Algorithm - Part One - Bayes Theorem
  • Naive Bayes Algorithm - Part Two - Model Algorithm
  • Capstone Project

  • Introduction of Clustering
  • K-Mean Clustering
  • K-Means Clustering Implementation
  • K-Means Color Quantization
  • K-Means Capstone Project
  • Hierarchical Clustering Implementation
  • Hierarchical Clustering Capstone Project

  • Introduction to time series
  • Components of Time Series: Trend, Seasonal, Cyclical
  • Types of Forecasting methods: Autoregressive Model, Moving Average Model, Autoregressive Integrated Moving Average Model
  • Practical application on Python

  • Introduction to PCA
  • Manual Implementation
  • PCA Scikit Learn

Machine Learning Masterclass With Industry Experts

Learn directly from leading professionals, who provide customized support to make you proficient in basic and advanced Machine Learning concepts. Understand how machine learning models fuel data-driven decision-making across various fields.

Hands-on, Real-world Projects

Undertake practical real-world projects that will equip you with the skills to build, train, and deploy machine learning models to solve challenging problems with state-of-the-art algorithms.

Globally Recognized Machine Learning Certification

Gain an eminent certification in Machine Learning that boosts your professional profile, opening doors for you with top employers worldwide by assessing your expertise in this in-demand area.

Career Support & Interview Preparation

Personalized career counseling and job placement support enable you to connect with leading organizations and prepare you for interviewing excellently for jobs in Machine Learning.

Flexible Learning Schedule

Choose full-time, part-time, or weekend classes to learn Machine Learning at your pace while continuing to enjoy work-life balance

Build a career with YuHasProIT in Machine Learning where data into insights leads to an unending trail of possibilities!

Our Certification
  • YuHasPro Certification
**@Extra Cost Certification Options Available
  • JAIN UNIVERSITY
  • IBM
Career Opportunity After Completing Machine Learning Course
  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • Deep Learning Engineer
  • ML Research Scientist
  • Data Analyst (ML-focused)
  • Machine Learning Developer
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • Robotics Engineer
  • ML Operations Engineer
  • Business Intelligence Developer
  • Data Engineer (ML-focused)
  • ML Solutions Architect
  • Quantitative Analyst
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