🔥 Machine Learning Full Course 2024 | Learn it 🔴LIVE | Machine Learning Tutorial | Simplilearn [Video]

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In this Machine Learning Full Course 2024 video by Simplilearn, We will begin with the fundamentals of machine learning and walk you through the advanced machine learning concepts and algorithms used in the process. we’ll cover some of the essential topics like linear vs logistic regression. This Machine Learning Course for Beginners will give you a practical explanation of statistics and probability. At the end of this video, we will be discussing the essential interview questions and answers of machine learning to help every individual crack an interview.

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Dataset Link –https://drive.google.com/drive/folders/15lSrc4176J9z9_3WZo_b91BaNfItc2s0

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME’s excellence and IBM’s industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

– Simplilearn’s JobAssist helps you get noticed by top hiring companies
– PGP AI & ML completion certificate from Caltech CTME
– Masterclasses delivered by distinguished Caltech faculty and IBM experts
– Caltech CTME Circle Membership
– Earn up to 22 CEUs from Caltech CTME
– Online convocation by Caltech CTME Program Director
– IBM certificates for IBM courses
– Access to hackathons and Ask Me Anything sessions from IBM
– 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
– Seamless access to integrated labs
– Capstone projects in 3 domains
– 8X higher interaction in live online classes by industry experts

✅ Skills Covered

– Statistics
– Python
– Supervised Learning
– Unsupervised Learning
– Recommendation Systems
– NLP
– Neural Networks
– GANs
– Deep Learning
– Reinforcement Learning
– Speech Recognition
– Ensemble Learning
– Computer Vision

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