Artificial intelligence is a technology that is already impacting how users interact with, and are affected by the Internet. In the near future, its impact is likely to only continue to grow. AI has the potential to vastly change the way that humans interact, not only with the digital world, but also with each other, through their work and through other socioeconomic institutions – for better or for worse.

If we are to ensure that the impact of artificial intelligence will be positive, it will be essential that all stakeholders participate in the debates surrounding AI.

About Me

  • This is Damodar and I do have 10+ years of experience in IT industry
  • From the past 5 years, I am working on Machine Learning
  • I do have expertise in SQL, SQL Server DBA, PowerShell, etc., apart from Machine Learning

Pre-requisites To Learn Artificial Intelligence Training Hyderabad

  • No Prior knowledge required in Python
  • Knowing core programming concepts like 
  • for, while loops, if conditions, etc., is going to be add on
  • No Mathematical or Statistical Experience required

Table of Contents

Artificial intelligence demo By Dhamodhar In telugu 9059868766 || ఆర్టిఫిషియల్ ఇంటెలిజెన్స్ డెమో

  • Python
  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
  • Timeseries
  • Machine Learning Basics
  • Basic Projects
  • Project Template
  • Internals of Machine Learning
  • Ensemble Algorithms
  • Deep Learning
  • Regular Expressions
  • NLP Basics
  • NLP Projects
  • Computer Vision Projects
  • Time Series Projects
  • Deployment

Artificial Intelligence Course Content

  • Operators
    • Arithmetic Operators
    • Comparison or Relational Operators
    • Logical or Boolean Operators
    • Bitwise Operators
    • Assignment Operators
    • Special Operators
  • Math Library
  • Variables
  • Data Types
  • Typecasting
  • Booleans
  • Strings 
  • Special Characters in a String
  • Split and Strip a String
  • Introduction to Lists
  • Lists Slicing and Reverse Order
  • Kinds of Lists
  • Concatenate Strings Using join() method
  • Add Lists
  • Introduction to Dictionary
  • Dictionary and It’s Methods
  • Nested Dictionary
  • Create Dictionary Using zip() method
  • Tuples
  • Set
  • If Condition
  • While Loop
  • Range() Method
  • For Loop
  • Reserve Keywords
  • Built-In Functions
  • User Defined Functions
  • Anonymous or Lambda Functions
  • Necessity of Numpy
  • Creation & Metadata of Numpy
  • Arrays
  • Broadcasting
  • Built-in Functions
  • Data types
  • Type casting
  • Matrix Multiplication
  • Change of Numpy Shape
  • Numpy Slicing
  • Boolean Indexing
  • Filter Data
  • Statistical Methods
  • Sort, Min & Max of Numpy
  • Arrays
  • Stacking & Splitting
  • Copy Vs View
  • Series
  • DataFrame
  • Metadata
  • Rename Columns & Indices
  • Transpose DataFrame
  • Slice a DataFrame
  • Boolean Indexing
  • Missing Values
  • Replace Values
  • Search, Extract & Create
  • Columns
  • Set & Unset Index
  • Built-In Customised Functions
  • Value_counts function
  • Groupby & Associated Methods
  • Concat & Append
  • Merge
  • Reshape – Stack & Unstack
  • Pivoting
  • Melt
  • Dummy Variables
  • Crosstab() method
  • Upper, Extract, Split & Replace Methods
  • Regular Expressions
  • Contains Method
  • StartsWith Method
  • Multiple String methods
  • Column Name Manipulation
  • Show Columns based on
  • Keyword
  • read_csv() method
  • Bad Data
  • Select Columns based on
  • DataType
  • Tabbed File
  • Fixed Width File
  • JSON Data
  • HTML Data
  • XML Data
  • API
  • Export Dataframe to CSV
  • Encoded Data Files
  • How to convert NonTimestamp to Timestamp
  • Invalid Data
  • Unix/Epoch Time
  • Datetime Index
  • Current Datatime
  • date_range & bdate_range
  • methods
  • One Axis Plot
  • Two Axis Plot
  • Line Style & Color
  • X and Y Limits
  • Line Width
  • Multiple Plots in One Chart
  • Title, X & Y Labels
  • Gridlines
  • Annotations
  • Ticks
  • Spines
  • Legend
  • Subplots
  • Line Plot
  • Bar Graph
  • Scatter Plot
  • Area Plot
  • Box Plot
  • Histogram
  • Pie Chart
  • Count Plot
  • Box Plot
  • Violin Plot
  • Swarm Plot
  • Overlaying Plot of Univariate Variables
  • Facet Grid
  • Lmplot & regplot
  • Size & Shape of a Plot
  • Pair Plot
  • Join Plot
  • Heat Map
  • Types of Data
  • Population Vs Sample
  • Sampling Methods
  • Branches of Statistics
  • Distribution
  • Variance Vs. Standard Deviation
  • Z-Score
  • Correlation
  • Models
  • Probability
  • Labelled Vs Unlabeled Data
  • Types of ML Algorithms
  • How ML Predict things
  • Count Vectorizer
  • Difference between fit and fit_transform Methods
  • Special & Numerical Chracters
  • Remove HTML Tags from Text Data
  • Remove Stop words from Text
  • Stemming
  • Train Test Split
  • Accuracy – MAE, MSE, RMSE & Variance Score
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Classification Algorithms
  • Clustering Algorithms
  • Univariate Timeseries Analysis
  • Basic Algebra
  • Calculus
  • Matrices
  • Types of Variables
  • Central Tendency
  • Measures of Dispersion
  • Statistics Library
  • Sampling Techniques
  • Correlation
  • Covariance
  • Distribution
  • Central Limit Theorem
  • Confidence Interval
  • Hypothesis Testing
  • Statistical Significance
  • Loss Functions
  • Noise
  • Penalty
  • Dimensionality Reduction
  • Principal Component Analysis
  • r^2 score
  • ROC & AUROC
  • Hyper Parameters
  • Project Skeletons
  • Average
  • Weighted
  • Conditional
  • Bagging
  • Boosting
  • Git add
  • Git commit
  • Git push
  • Git pull
  • Git clone, etc.,
  • Data Scaling
  • Covariance
  • Eigen Values
  • Eigen Vectors
  • Artificial Neural Network
  • Deep Neural Network
  • Weight
  • Bias
  • Neuron
  • Hidden Layers
  • Input Layers
  • Output Layer
  • RNN
  • LSTM
  • CNN
  • Named Entity
  • Parts of Speech (PoS)
  • Text Cleaning
  • NGrams
  • Tokenization
  • RegEx Stemmer
  • Singular & Plural
  • Translate
  • TF-IDF
  • Anomaly Detection
  • Topic Modelling
  • Sentiment Analysis
  • Auto Tagging
  • Spam Classification
  • Text Generation
  • Pandas Slicing
  • Component of Datetime
  • Strftime method
  • Period Range
  • Period
  • Resample
  • Handle Timezone
  • AutoRegression
  • Moving Averages
  • ARIMA Model
  • World Bank Data
  • Google Trends Data
  • Image Basics
  • Image Processing
  • Deep Learning for CV
  • Object Detection
  • Image Search Engine
  • Transfer Learning
  • SageMaker
  • Bucket Creation
  • Regression – Deep
  • Learning
  • Classification – Deep
  • Learning
  • Text
  • DropDown
  • Charts
  • Status
  • Checkbox, etc.,
  • HTTP Methods
  • Routing
  • Database Connectivity
  • HTTP Methods
  • Web Service Request & Response
  • AWS
  • Heroku
  • Google Cloud Platform
  • Azure
  • CI/CD
  • Monitoring

You get 2+ years of real time experience in Machine Learning by doing this course

Register Now for Artificial Intelligence Live Demo