Artificial Intelligence Training :
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Artificial Intelligence Course in Hitech city:
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Artificial Intelligence (AI) Course in Hitech city Overview:
Ganatech Solution on starting a career in Artificial Intelligence? Ganatech Solution result Artificial Intelligence Course program is the choice of preference for the budding AI career suckers. The advanced skill sets that you get to make from this course will help you in passing an accelerated career growth in Artificial Intelligence. This course is in collaboration with the assiduity experts from the IIT & PHD alumina. In this 60 hours of violent educator- led AI training, scholars will be working on multiple real- time systems & assignments.
Curriculum:
Introduction:
- Why/What machine learning
- Real time applications of machine learning
- Data science project life cycle
- Overview of data, tools and processes
- Environment setup – Anaconda distribution setup
- Assignment/Quiz
Python programming language:
- Basic data structures – List, Set, Tuple, Dictionary
- Functions and loops
- Object-oriented programming: classes & objects
- Packages
- Overview of python libraries (pandas, skelarn, keras, spacy, nltk,etc)
- Directory and File management
- Exception handling
- Assignment/Quiz
Statistical distributions:
- Random variable and probability
- Probability rules and types
- Bayes’ theorem
- Histogram and Probability density function
- Probability distributions
- Bernoulli, Geometric, Binomial, Poisson and exponential distributions
- Assignment/Quiz
Data preparation and pre-processing (pandas):
- Data cleaning and transformations
- Missing value handling
- Outlier handling
- Train/Valid/test split – random and stratified
- Feature engineering
- Assignment/Quiz
Machine learning:
- Supervised learning– Regression, Classification
- Unsupervised learning– Clustering, dimensional reduction
- Reinforcement learning
- Assignment/Quiz
Supervised Learning – Regression (SK learn):
- Simple linear regression
- Assumptions of linear regression
- Multiple Linear Regressions
- Polynomial Regression
- Evaluation- MSE, RMSE, correlation, R Squared, Adjusted R Squared
- Bias- variance trade off
- Use case of Linear regression
- Assignment/Quiz