Without any prior experience - any department - from scratch
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A.I / Data Science
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Introduction to AI | How to create basic AI application
How to install Python & Libraries & Basics of python Programming
Introduction to Computer Vision
Moving Object Detection and tracking
Face Detection and Tracking
Object Tracking based on color
Face Recognition
Face Emotion recognition
Introduction to Deep learning
Designing your First Neural Network
Object recognition from Pre-trained model
Image classification using CNN
Hand gesture recognition
Leaf disease detection
Character recognition using CNN
Smart Attendance system
Vehicle detection
License plate recognition
Drowsiness detection
Road sign recognition
Introduction to Machine learning
Evaluating and Deploying the various ML model
Fake news detection
AI snake game design
Introduction to NLP & itβs Terminology
Title Formation from the paragraph
Speech emotion analysis
Cloud based A.I
A.I using Hardware
Road Map to become a Data Scientist
Data Preparation β Power Query & Tables
Data analytics- Formula & Pivot Table
Story Telling β Charts & Dashboard
Automation β VBA Macros & Power Query
Descriptive Statistics
Probability β Permutations, Combinations
Population and Sampling
Probability Distributions
Hypothesis Testing & ANOVA
Connect Tableau to a Variety of Datasets
Data Visualization
Connect Power BI to a Variety of Datasets
Data Visualization in Powerbi
Introduction to Python
Basic Python Programming
Python Numpy functions
Pandas for Data analytics in Python
Matplotlib for data visualization
Seaborn for data visualization
Kaggle Dataset and Notebooks
SQL basics for Data analytics β Part-1
SQL basics for Data analytics β Part-2
MongoDB basics for Data analytics
Introduction to Machine Learning
Evaluating and Deploying M.L Algorithms
Introduction to Deep Learning
Covid-19 Detection using X-Ray Images with CNN
Tag Identification system using NLTK
Introduction to AI & Python
Advertisement Sale prediction Project
Salary Estimation Project
Character Recognition project
Titanic Survival Prediction project
Leaf Detection Project
Handwritten digit recognition Project
Evaluating Classification model Performance Project
Breast Cancer classification Project
House Price Prediction project
Exam Mark Prediction project
Predicting the Previous salary of the New Employee project
Stock price prediction project
Height Prediction from the Age project
Car price prediction using RANDOM FOREST
Evaluating Regression model performance
Regression Model Selection for Engine Energy prediction.
Identifying the Pattern of the Customer spent using K-MEANS CLUSTERING
Customer Spending analysis using HIERARCHICAL CLUSTERING
Leaf types data visualization project
Finding Similar Movie based on ranking Project
Market Basket Analysis using APIRIORI
Market Basket Optimization/Analysis using ECLAT
Web Ads. Click through Rate optimization
Sentimental Analysis using Natural Language Processing
Breast cancer Tumor prediction using XGBOOST
Bank Customer classification using ANN
Pima-Indians Diabetes Classification
A.I Snake Game using REINFORCEMENT LEARNING
Introduction to Python
Installing & Working with Python IDLE
Configuring Environmental Variables - Command Window
Installing Anaconda Navigator (Jupyter Notebook), Anaconda Navigator (Spyder Notebook), Google Colab, Pycharm
Working with Libraries
Simple Arithmetic
Introduction to Strings
Indexing and Slicing with Strings
String Properties and Methods Print Formatting with Strings
Lists, Dictionaries, Tuples, Sets, Booleans
Python Objects and Data Structures
If Elif and Else , For Loops, While Loops, Functions
Tuple Unpacking
*args and **kwargs
Lambda Expressions, Map, and Filter Functions
Attributes & Class Keyword
Class Object Attributes and Methods
name and "main"
Errors and Exceptions Handling
Decorators
Generators
Collections Module
Opening and Reading Files and Folders
Datetime Module, Math and Random Modules
Debugger, Regular Expressions
Zipping and Unzipping files with Python
Setting Up Web Scraping Libraries
Grabbing an Image
Introduction to Images with Python
Working with CSV Files in Python
Introduction to Deep Learning
Basic Computer Vision
Neurons & Perceptron
Activation Function
Gradient Descent
Stochastic Gradient Descent
Backpropagation
Artificial Neural Network β Project 1
Optimization Algorithms β SGD, Momentum, NAG, Adagrad, Adadelta, RMSprop, Adam
Batch Normalization
Hyperparameter tuning
Interpretability
Deep Neural Network β Project 2
Convolutional Neural Network & its Layers
CNN Architecture
Different frameworks on Deep Learning (Tensorflow, Keras, PyTorch & Caffe)
Object Recognition using Pre Trained Model β Caffe β Project 3
Image classification using Convolutional Neural Network from Scratch β Tensorflow & Keras β Project 4
Custom Image Classification using Transfer Learning β Project 5
YOLO Object recognition β Project 6
Image Segmentation β Project 7
Project using MxNet β Project 8
Project using PyTorch β Project 9
Social Distancing detector β Project 10
Face Mask detector β Project 11
Introduction to RNN and LSTM
Project using RNN β Project 12
Introduction CUDA Toolkit and cuDNN for deep learning
Getting started with the Intel Movidius Neural Compute Stick β Project 13
Custom Object classification using Nvidia Jetson β Project 15
I want to be placed in High Paying Job at Top MNC
I want to enrich myself on Technology, Softskills & Mindset
I want to learn from Basics from Python Programming to Deep Learning
I want to learn A.I without investing Lakhs of money on learning that.
I want to learn A.I without investing Lakhs of money on learning that.
I wanted to build my portfolio by filling up with more Machine learning projects
If you checked ANY of the boxes above, then this program is perfect for you π
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Recorded Videos of courses - Portal (*Lifetime access)
75+ Project Hands-on
Downloadable PPT, PDF, Mindmap
Downloadable Source code
Community Support with Over 2,20,000 Students
7 Days No- Questions- Asked Refund Policy
Internship Certificate on Completion
Lifetime Private community access
LIVE classes on Every weekend
No need for any pre-knowledge on these courses, this courses are taught from the scratch including programming, Concepts & Algorithms
You will be having LIVE Classes on every weekend + Arduino 30 day Course self-paced videos
Weekly Mastermind Zoom Live - To clear your doubts & Gives additional latest lectures/projects on both domains which are not present in course
You can ask your doubt in the Mastermind session or in our community
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Please wait until you get mail regarding your enrollment in courses (Maximum 12 Hours).
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