Xchieve connects you with top educators and smart tools for fast, affordable, and personalized learning that gets results.
ML is the study of getting PCs to act without being expressly modified. In the previous decade, ML has given us self-driving vehicles, commonsense discourse acknowledgment, compelling web search, and an incomprehensibly improved comprehension of the human genome.
In the past decade, we have seen a dramatic increase in the use of machine learning. This technology is being used across a variety of industries, from retail to finance, and its impact is only increasing. For businesses, machine learning can be used to improve customer service, target marketing, and even predict future trends. For individuals, machine learning is providing new opportunities for personalization and customization. In this session, we will provide an introduction to machine learning, including its definition, history, and applications.
Supervised learning is a type of machine learning algorithm that uses a known set of training data to train a model to produce desired output. Linear regression is a type of supervised learning algorithm that finds the linear relationship between a dependent variable and one or more independent variables.
In this session we will discuss more about Supervised Learning and Linear Regression.
There are many supervised machine learning models that can be used for classification, but logistic regression is a popular choice due to its simplicity and interpretability. In this session, we'll explore how logistic regression works and how it can be used for classification tasks. We'll also see how to train and evaluate a logistic regression model using Python.
Decision trees are a powerful tool for both classification and regression tasks. A decision tree is a model that is used to predict the value of a target variable by learning simple decision rules inferred from the data features. Random forests are a modification of decision trees. In this session, we will discuss more about Decision Tree and Random Forest.
In machine learning, there are a few different methods for classification. Naive Bayes and Support Vector Machine are two of the most popular methods.
In this session, we'll take a look at both methods and see how they compare.
Quality learning, simplified and budget-friendly – just for you!
Eduvizo helped me every step of the way! Couldn’t have done it without their amazing support.
Shambhavi Kumari
Student
Have you ever wondered how the internet seems to know exactly what you like?
That’s thanks to something called machine learning—a smart technology that learns from data to make decisions.
From the posts you see on social media to the ads that follow you around online, machine learning is behind many of the digital experiences we interact with every day.
Pretty fascinating, right?
Here’s a fun fact: Companies around the world are investing heavily in machine learning, and by 2030, the global market is expected to reach a staggering USD 419.94 billion.
That’s a massive number—and a clear sign that machine learning is shaping the future.
For any assistance, reach out to our support team at +91 7017616404 or support@xchieve.online. We’re available Monday to Saturday, 11 AM – 8 PM.
Get a head start! Pre-register now for just ₹2000 and lock in your spot to begin reshaping your career path.
Join the vibrant community on WhatsApp! Engage, discuss, and grow with fellow learners and mentors by your side.
Our team puts a lot of heart into creating meaningful learning experiences. While we don’t offer refunds, we’re confident you’ll find great value in every course we offer.
Choose the learning format that fits you best—self-paced for flexibility, or mentor-led for guided support. Whatever your pace, we’ve got you covered.
© 2025 Created By Team xchieve
Contact