Introduction to Machine Learning Course
Placify's Machine Learning Internship Program to give a boost to your Carrer.
Live conversations with industry professionals
Certificates from reputable MNC's around the world
25+ Hours of Practical Learning
Project support and Guidance
Access to Specialized Course Materials
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Certificate of completion
25+ hours of video content access
Major & Minor Live Projects
Top Tools Included
OVERVIEW OF THE PROGRAM
Machine learning is the study of computer algorithms that can better themselves automatically based on experience and data. It is a subfield of computer science and artificial intelligence (AI). Machine learning is changing the world; it is present in many important industries, including healthcare, education, transportation, food, and entertainment. With the aid of machine learning, almost every part of our daily lives will become easier and more efficient. Housing, cars, shopping, food ordering, and so on will all become easier and more efficient.
COURSE CURRICULUM
Get to realize in element about all the key principles and strategies used to layout and analyze from fundamental to advanced topics.
Python basic Python concepts & terms Python fundamentals Python data structure & modules
What is machine learning? Applications of machine learning, Supervised vs Unsupervised Learning, Python libraires suitable for ML
Training& Testing, Cross validation, Features & labels, Pickling’s & Scaling, Techniques & Error metrics.
Linear regression & Forecasting, Prediction using regression, Logisitic regression & model evaluation, Support vector machines, K-N classification, K –means clustering, Random Forest linear
Content based recommender systems, Collaborative Filtering
Introduction to NLTK, BASICS & LAXICAL PROCESSING, Text Classification, stop words stemming lemmatization, named entity recognition, conduct sentiment analysis using Naïve bayes
Information & Training flow of neural network, Convolutional & Recurrent neural networks, Creating & Deploying networks using TensorFlow & karas
Implementation of all algorithms using sklern
Tools Included
Pricing Plans
Unlock premium features at a budget-friendly rate. Gain hands-on industry experience, work on live projects, and receive mentorship from the top 1% of mentors, plus additional benefits. Select the plan that aligns with your requirements and elevate your practical, outcome-based learning to new heights. Enroll today and pave the way for leadership tomorrow.
Self Paced
₹4999
- Internship Certificate by Co-Branded Company
- 1 Minor + 1 Major project
- Recorded Modules
- 25+ hours of video content access
- Outstanding Certificate on successful completion of extra projects
- Training Certificate from Placify Technologies
Mentor Led
₹9999
- Internship Certificate by Co-Branded Company
- 1 Minor + 1 Major project
- 16+ hours of mentor training
- 25+ hours of video content access
- Outstanding Certificate on successful completion of extra projects
- Training Certificate from Placify Technologies
Certificates
Get certified with the aid of pioneers of Ed-tech industry via upskilling in current technological and entrepreneurial domains.
FAQs
Explore our FAQ section for quick answers to common questions. Can't find what you're looking for? Contact us for assistance.
No, this course does not have specific prerequisites. It is designed to cover the fundamentals, making it suitable for complete beginners as well.
Ensure you have a reliable and stable internet connection, along with a functional device such as a laptop or mobile phone. It’s also advisable to have a notepad and pen/pencil handy for taking notes during the classes.
For additional information about the course, please contact us through email at support@placifytechnologies.com or reach out to us via the phone number listed in the ‘Contact Us’ section.
After completing a machine learning course, potential career paths include roles such as Machine Learning Engineer, Data Scientist, and AI Research Scientist, with opportunities in developing and implementing machine learning models, analyzing large datasets, and contributing to artificial intelligence research.
