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Machine Learning for Predictive Analytics

Learn powerful algorithms to work with data for decision making and prediction.

May 27th, 2023 | 10:30 AM IST (Live Online Session)

A branch of artificial intelligence called machine learning (ML) is concerned with creating learning machines and creating computational theories of learning. In order to obtain a full knowledge of the nature of learning processes (both human learning and other types of learning), of the computational elements of learning behaviours, and to embed the learning potential in computer systems, machine learning and AI share a common aim. The development of artificial intelligence has been credited in large part to machine learning, which has applications in many fields of science, engineering, and society.

The 3 Goals of Machine Learning:

Simply expressed, the purpose of machine learning (ML) is to develop the ability for computers to learn and to comprehend the nature of learning (both human and other types of learning). Three components make up the aims of ML, to be more precise.

(1) To increase the intelligence and smarts of computers. Creating systems (programmes) for certain practical learning tasks in application areas is the aspect’s more direct goal.

(2) To create computer simulations and computational models of the human learning process. This area of research is also known as cognitive modelling.

(3) To investigate novel teaching techniques and create broad, application-free learning algorithms.

Topics Covered:

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Gradient Boosting Machine
  • Artificial Neural Network
  • Word2vec
  • Word2vec
  • Convolutional Neural Network
  • Recurrent Neural Network
  • Clustering
  • Principal Component Analysis
  • Recommender Systems
  • Implementing Algorithms in the Cloud

Prerequisites: Python Coding

About the trainer

  • Mr. Ravi Singam is a highly competent Data Scientist and trainer.
  • He trained more than 2500 students on different technologies.
  • He has served the training industry for more than 12 years and contributed in developing complex enterprise software applications and automation solutions to national and international businesses across the globe. 
  • His training expertise is majorly into many advanced and trending technologies that includes Core & Advanced Python, Data Analytics, Data Science, Power BI, and VBA.


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Shanay M

"I recently completed the Machine Learning for Predictive Analytics program and it exceeded my expectations. The instructors were knowledgeable and engaging, and the course content was thorough and relevant. I now feel confident in applying machine learning techniques to real-world problems."

Anubhav B

"As someone with a background in statistics, I was hesitant to dive into the world of machine learning. However, the Machine Learning for Predictive Analytics program provided a great introduction to the field and helped me build the skills I need to incorporate these techniques into my work. I highly recommend this program to anyone looking to expand their skill set."

Prathmesh D

"The Machine Learning for Predictive Analytics program was a game-changer for me. I learned practical skills that I could immediately apply to my job, and I feel much more confident in my ability to make data-driven decisions. The instructors were patient and supportive, and the course structure made it easy to stay engaged throughout."

Anand S

"I have taken several machine learning courses in the past, but the Machine Learning for Predictive Analytics program stands out as one of the best. The instructors were experts in the field and provided a deep understanding of the techniques covered in the course. I appreciated the emphasis on real-world applications and the hands-on experience provided through projects."

Arjunan K

"The Machine Learning for Predictive Analytics program was an excellent investment in my career. The course covered a wide range of machine learning techniques and provided me with the tools I need to tackle complex data problems. I highly recommend this program to anyone looking to take their data analysis skills to the next level."

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