What is supervised learning
Algorithms in Supervised learning
R-Square coefficient and RMSE as a strength of model, Prediction and confidence interval determination and application
Proviso of Regression, Dummy variables, Types of Regression: Linear and Logistic( Simple and multiple)
Sum of least squares, ROC and AUC curves, Homoscedasticity and Heteroscedasticity, Multicollinearity and vif, Confusion matrix
What is KNN and why do we use it?
KNN-algorithm and regression
Curse of dimensionality and brief introduction to dimension reduction
KNN-outlier treatment and anomaly detection
Linear and Non-Linear SVM’s, SVM regression
Principal Component Analysis(PCA)
Singular Value Decomposition(SVD)
K-Means clustering and skew plot
Extracting unstructured text from files and websites
Time Series & Time Series forecasting
ETS Model, Auto regressive Model, Moving Average Model, ARIMA Model, ETS Model
Anomaly Detection, Transformations, Growth curve, ARCH & GARCH Models
Metrics of rules-Lift, Support, Confidence, Conviction
Apriority Model, Market Basket Analysis
Algorithm implementation and tuning, Applications
Introduction to NN
Artificial Neural Networks
Installation of Trial Version of Tableau Publice
Design Flow, Data Viewing
Forecasting using Exponential Smoothing
Granularity and Trimming, Seasonality, Animations
See how netflix uses Machine Learning to improve its recommendation system. how they leverage Machine Learning to provide personalized recommendations to its users.
Check out the modern way of learning of how Machine Learning is transforming the education system. Get an in-depth understanding of the diverse role of Machine Learning.
Our Machine learning training has precisely been developed to reach out to the demand of the learners by keeping in mind the industry standards.
This Machine learning course will particularly be helpful for the career advancement of the following audience -
Graduates from the College.
Currently working employees looking to upskill themselves.
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As such, there are no specific prerequisites for Machine learning Company in Hyderabad. If you are familiar with programming and foundation skills with a sense of curiosity and willingness to learn you are all set for the Machine learning training.
Machine learning Training Classes are conducted over the Weekdays and Weekends through classroom and online sessions. Please get in touch with the Grepthor team to get the exact schedule and timings.
Our Machine Learning faculty has over 12 years of experience.
Machine Learning Course duration is 50 hours.
Weekday Machine Learning Training classes will be one hour long and Weekend classes will be three hours long.
Please find the detailed Machine Learning course curriculum in the Grepthor Machine Learning training curriculum section.
Yes, we will assist our students with all the interview preparation techniques
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