MACHINE LEARNING

Machine Learning with R and Python

Introduction to ML Online Training Course in USA

This training delivers you the highest quality of training with a hands-on approach and an industry-recognized curriculum. Training will be provided by our experienced and certified professionals in the respective fields. Training will include exposure to real-time work environments and will also prepare you to attend interviews confidently. You do not require prior knowledge of the courses listed. We give you an excellent opportunity for enhancing your career in the course of your choice. Each training module in IT consulting and training is specially designed so that by the end of the course you will be ready to face client interviews. 

Course Contents

  • What is Machine Learning
  • Machine Learning Types o Supervised learning o Unsupervised learning o Reinforcement learning o Deep learning
  • Linear regression
  • Multiple linear regression
  • Gradient Descent
  • Ridge regression
  • Lasso regression
  • Logistic regression-Binary classification
  • Logistic regression-Multi Class classification
  • K Nearest Neighbors (KNN)
  • Naive Bayes
  • Decision trees
  • Random forests
  • Un Supervised Learning
  • K Means Clustering

  • Numerical variables
  • Categorical variables
  • Missing Values
  • Outliers
  • Mean and median imputation
  • Random sample imputation
  • Dummy variables
  • One hot encoding
  • Train and test data split
  • Save model using pickle

  • K fold cross validation
  • Hyper parameter tuning o Grid Search CV o Randomized CV
  • Ensemble Methods o Boosting o Bagging

  • Introduction to Tensor flow
  • Constant
  • Place holders
  • Variables
  • MLNN
  • Neurons
  • Weights
  • Activations
  • Networks of Neurons
  • Training Networks
  • Back propagation
  • Gradient Descent
  • CNN
  • Classification learning
  • Flatten
  • Fully Connected Softmax

  • 3 Real-Time Projects
  • Deployment on multiple platforms
  • Discussion on project explanation in interview  
  • Data scientist roles and responsibilities
  • Data scientist day to day work  
  • One to One resume Discussion with project, technology, and Experience.  
  • Mock interview for every student

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Frequently Asked Questions (FAQs)

If you wish to build your career with Machine Learning, then this course is the perfect choice for you. We focus on providing you with in-depth knowledge of every course-related topic. Besides, we teach you the practical application of everything that you have learned in the form of theory.

Yes! Tech Smart IT Solutions not only focuses on the deliverance of theoretical knowledge but on the deliverance of practical knowledge as well. We familiarize the trainees with real-world challenges and the ways to tackle them.

Well, we have a team of instructors with over 10 years of experience in their respective field. They have enough experience in dealing with the students. On that note, you can assure yourself to receive profound knowledge and a friendly attitude from the instructors.

Yes, as of now, we are offering two types of discounts. These are – group discount and referral discount. You become eligible for a group discount when you enrol as a group, whereas, a referral discount is offered when the course is referred to you by someone who’s already enrolled for the course.

Of course! By the end of the training programme, you will be well-versed with every topic from the curriculum. Moreover, you will be able to get your hands-on solving real-world problems. Hence, both these will help you invite more career opportunities for yourself.