Ementorhub

What you'll learn

Construct Machine Learning models using the various steps of a typical Machine Learning Workflow

Apply appropriate metrics for various business problems to assess the performance of Machine Learning models

Develop regression and tree based Machine learning Models to make predictions on relevant business problems

Analyze business problems where unsupervised Machine Learning models could be used to derive value from data

Skills you'll gain

Supervised Learning

Feature Engineering

Data Cleansing

Decision Tree Learning

Machine Learning

Statistical Modeling

Applied Machine Learning

Predictive Modeling

Data Manipulation

Application Deployment

Anomaly Detection

Regression Analysis

Exploratory Data Analysis

Unsupervised Learning

Data Processing

Machine Learning Algorithms

There are 6 modules in this course

1. Grasp the fundamental principles of machine learning and its real-world applications. 2. Construct and evaluate machine learning models, transforming raw data into actionable insights. 3. Navigate through diverse datasets, extracting meaningful patterns that drive decision-making. 4. Apply machine learning strategies to varied scenarios, expanding your problem-solving toolkit. This course equips you with the foundation to thrive as a machine learning enthusiast, data-driven professional, or someone ready to explore the dynamic possibilities of machine learning.

Building Your First Machine Learning (ML) Model for Synergix Solutions

Evaluating Prediction Models

Linear and Logistic Regression

Decision Trees for Synergix Solution

Introduction to Unsupervised Learning