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Artificial Intelligence
Course Details |
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Subscribe and Access : 5200+ FREE Videos and 21+ Subjects Like CRT, SoftSkills, JAVA, Hadoop, Microsoft .NET, Testing Tools etc..
Batch
Date: Nov 26th @8:30AM
Faculty: Mrs. Sasmitha (10+ Yrs of Exp,..)
Duration: 75 Days
Venue
:
DURGA SOFTWARE SOLUTIONS,
Flat No : 202,
2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038
Ph.No: +91 - 9246212143, 80 96 96 96 96
Syllabus:
Artificial Intelligence, MLOPS,
AWS Industry Ready Program
PYTHON Programming
Python Basics
- Variable, print(), Taking input from User
- Data Types (List , Tuple , Set , Dictionary , String)
- Control Statement and Loops (lf Else, While, For)
- Functions, Special functions lambda,map, filter, recursion
- Python Practice Set-1 (15 Questions)
Python Advance
- File handling(Opening,reading,writing,editing,with statements)
- Exception Handling(Try,Except,Finally,Raising Exceptions,Asertion)
- Object Oriented Programming(Class,Object, Method,Module,Packages)
- Inheritance
- Python Practice Set-2 (15 Questions)
Python For DataScience- Pandas
- Data Frame Basics ,Read-write
- Grouping, Merging , Joining and Concatenating Data
- sorting, Handling Missing Values
- Python Practice Set-3 (15 Questions)
Python For DataScience- Numpy
- Creating Arrays
- Array methods
- Basic Math operations on Arrays
- Python Practice Set-4 (15 Questions)
Python For DataScience- Plotly
- Scatter Plot, Histogram, Line Plot, Area Plot, Box Plot
- Bubble Chart, Bar Plot , Sunburst Chart
- Tree Map, Heat Map, Customizing Plots
- Python Practice Set-5 (15 Questions)
TABLEAU
Project-1 (Company Sales Dashboard)
- Installation, Download Drivers and Connect, Start Page, Navigation
- Connect to data Source, Import Excel File, Join Data Bases, Join Files
- Creating, Adding, Renaming, Duplicating Worksheet
- Calculations, sort and filter data, Different Charts,
- Create Dashboards, Filters, Create Stories
- Project-1 (Company Sales Dashboard)
MACHINE LEARNING
STATISTICS
- Central limit theorem, Correlation
- R, R Square, Adj R Square
- Variance, Standard Deviation, Quartiles, Inter Quartile Range
- Z Score, Normal Distribution
- Probability Practice Set (15 Questions)
DATA CLEANING
- Data Normalization, Data Standardization, Missing Value Treatment
- Multi Collinearity
- Outliers Detection and Removal
- Feature Selection Techniques,Handling Class imbalance Problems
- Project-2 Machine Failure Prediction
REGRESSION
- Linear Regression - Know the Math behind
- Right Fit, Underfit, Over fit
- Validation Technique (RMSE, MSE, MAE)
- Project-3 Admission Probability Prediction
CLUSTERING
- KMeans - Know the Math behind
- Project-5 Document Clustering
DEEP LEARNING
NEURAL NETWORK (ANN)
- Perceptron, Activation Functions
- Artificial Neural Network Architecture
- ANN Learning- Know the Math Behind
- Project-6 Stock market Prediction
NLP
TEXT MINING
- Web Scraping using beutifulsoup, Selenium
- Text Data Preprocessing, Stemming, Lemmatization
- Word embedding techniques- count vectorizer, tf-idf vectorizer
- Regular expression
- Project-7 Web Scraping
MLOPS
MI-FLOW, DOCKER, GITHUB
- Model registry, Model Tracking
- Concept drift, Data drift
- Version control, Containerization
CLOUD COMPUTING
AWS
- Storage Services - S3
- Compute Services
- AWS sage maker, Deployment on AWS
PORTFOLIO BUILDING
- Project-8 -->
End to End Deployment (collecting data from Database Cleaning Data ,Visualizing
Data, Building Model, Validating and Deploying
Models on AWS
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