Machine Learning
Machine learning is a branch of artificial intelligence that enables computers to learn from data and improve performance over time without being explicitly programmed. It uses algorithms to identify patterns, make predictions, and support decision-making across various fields like finance, healthcare, marketing, and technology.
Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on developing systems and algorithms that can learn and make predictions or decisions based on data. The primary goal of machine learning is to enable computers to learn patterns, relationships, and insights from data without being explicitly programmed for a specific task. In other words, machine learning algorithms allow systems to improve their performance on a task as they are exposed to more data over time. Now a days in Business world data analytics plays a vital role to form decisions more scientifically and help to increase operational efficiency. We provide one of the best Machine Learning Course, Training & Certification in Gurgaon.
What we will Learn
- Connection, Navigation, Data Sources
- Data Extraction, Data Prep
- Data Pre-Processing
- Exploratory Data Analytics
- List Item Data Wrangling
- Data Cleansing
- Data Munging
- Statistics For Business Analytics
- Data Analytics
- Machine Learning
- Data Visualization
- Python for Everyone
What all topics we will cover in Machine Learning Course in Palin Analytics
Machine learning is a versatile field with applications in various domains, including finance, healthcare, marketing, natural language processing, image recognition, and many others. The field continues to evolve with advancements in algorithms, model architectures, and techniques, contributing to the broader landscape of artificial intelligence. In this course you will get to learn apply machine learning algorithms the essential part of data science. By the end of this you will be able to extract, read and write data from csv files, data cleansing, data manipulation, data visualization, run inferential statistics, understand the business problems, based on problems you will be able to select and apply machine learning models and deploy it.
Who Can Go For This
Machine learning is a field which is meant for a diverse range of individuals, and it can be learned by people with varying backgrounds and interests. Programmers, Statisticians, Data Scientist, Computer Science Students, Here are some groups of people who can benefit from learning machine learning
Advantages:
Lifetime Batch Access
Industry Expert Trainers
Sharable Certificates
Learn From Anywhere
Career Transition Guidance
Real-Time Project
Industry Experts
Interview Preparation
Class Recordings
- 13 Sections
- 53 Lessons
- 10 Weeks
- Machine Learning4
- Mathematics and Statistics Foundations3
- Supervised Learning5
- Model Evaluation and Hyperparameter Tuning3
- Unsupervised Learning4
- Introduction to Neural Networks3
- Deep Learning4
- Neural Language Processing (NLP)4
- Computer Vision3
- Introduction to Machine Learning11
- 10.1What is Machine Learning
- 10.2Different Stages of ML Project
- 10.3Supervised vs Unsupervised ML
- 10.4Algorithms in Supervised and Unsupervised Learning
- 10.5Introduction to Sklearn
- 10.6Data Preprocessing
- 10.7Scaling techniques
- 10.8Training/Testing/Validation Datasets
- 10.9Feature Engineering
- 10.10How to Deal with Categorical Variables – Dummy Variables
- 10.11Categorical Embedding
- Reinforcement Learning3
- Model Deployment and Integration3
- Ethical and Responsible AI3
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