Kids Tech 1 Year Program

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Language: English

Course Overview

What you'll learn
  • Python
  • Python Features
  • Applications
  • Fronted & Backend
  • HTML
  • CSS
  • Building Portfolio
  • Java Script
  • Database
  • Django/Node JS
  • Wordpress
  • Game Development with Tynker
  • Game development with pygame (Using python)
  • Game Applications
  • Android
  • IOS
  • WEB
  • Data Analysis
  • Data CLeaning
  • Data Visualization
  • Feature Engineering
  • Feature Engineering Data Pre-processing
  • Machine Learning
  • Deep Learing
  • Computer Vision
  • NLP
Requirements
  • Computer with Internet connectivity
  • Dedication

Course Curriculum

  • Overview
  • Environment Setup
  • Syntax
  • Comments
  • Variables
  • Data Types
  • Numbers
  • Strings
  • Booleans
  • Operators
  • List
  • Tuples
  • Sets
  • Dictionaries
  • If Else
  • While Loops
  • For Loops
  • Functions
  • Lambda
  • Functions
  • Arrays
  • OOPS
  • Classes
  • Inheritance
  • Iterators
  • Scope
  • Modules
  • Dates
  • Math
  • JSON
  • PIP
  • Try
  • Except
  • User Input
  • String Formatting
  • Create your own blog using Flask
  • Game Development
  • GUI Desktop application like library management system
  • Server & deployment
  • HTML Introdction
  • Understanding HTML versions
  • HTML5
  • HTML page structure
  • Blog/Inline elements
  • HTML Editors
  • HTML Heading
  • Paragraph
  • Comments
  • Links
  • Images
  • Classes & Ids
  • HTML Forms
  • SVG
  • Video/Audio
  • Iframe
  • Lists
  • tables
  • Formatting
  • HTML Attributes
  • Sample Hello World HTML Page
  • CSS Introduction
  • CSS syntax
  • CSS id/class declaration
  • CSS Comments
  • CSS Font-size
  • CSS img
  • CSS background
  • CSS color
  • CSS border
  • CSS Margin
  • CSS Padding
  • CSS Inline
  • CSS Gradient
  • CSS Display
  • CSS Overflow
  • CSS max-width
  • CSS width/height
  • CSS Position
  • CSS Alignment
  • Sample Hello World Html with design
  • Javascript Introduction
  • Basic javascript
  • variables
  • Operators
  • Datatypes
  • Comments
  • Loop
  • Function
  • Objects
  • Events
  • Jquery Framework:-
  • jquery introduction
  • val()
  • Playing with CSS properties
  • Traversing HTML Elements
  • Remove/delete attribute
  • Events
  • Fade/slide/hide/show effects
  • Intro to React
  • MySQL
  • MongoDB
  • Firebase
  • Learning objectives
  • About Tynker
  • Tynker workspace
  • Tynker visual blocks
  • Sequencing
  • Loops
  • Debugging
  • Conditionals
  • Tynker Hour of code puzzles
  • Installing pygame
  • Initialization and Modules
  • Displays and Surfaces
  • Images and Rects
  • Game design
  • Players/Enemies/Sprites/Sprite groups
  • Events
  • Images
  • Sound
  • Rock paper scissors game
  • Sudoku game
  • Racing game
  • Space shooter
  • Pac-man
  • Paint application
  • Shoot the monster (Save yourself from bullets coming from monster by moving round & round from monster. Monster is also protecting them by covering up.)
  • Mario
  • Some music piano playing app
  • Flappy Bird
  • Pong
  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
  • Causes and Impact of Missing values
  • Types of Missing values
  • When should we delete the missing values
  • Imputing the missing values
  • How Outliers can be harmful for ML models
  • Finding out outliers from the Data
  • Using Different techniques to deal with Outliers
  • Data Cleaning with a Different different datasets
  • Univariate Analysis
  • Bivariate Analysis
  • Multivariate Analysis
  • Scatter, Bar, Line, Facet,Gantt, polar statistical Charts
  • Subplot, 3D charts and Maps
  • Introduction to Feature engineering
  • Removing Unnecessary Columns
  • Decomposing Time and Date Features
  • Binning Numerical Features
  • Aggregating Features
  • Introduction to FE on Text Data
  • Reading and Summarizing the Text
  • Finding the Length, Polarity and Subjectivity
  • FInding the words, Characters and Punctuation COunt
  • Counting Nouns and Verbs in the Text
  • Feature engineering on Titanic Datasets
  • Feature engineering on Marketing Data
  • Feature engineering on Hotel Review
  • Feature engineering on Employee Data
  • Types of Encoding Techniques
  • Label Encoding
  • Feature Mapping for ordinal Variables
  • OneHot Encoding
  • Binary and BaseN Encoding
  • Mean and Frequency Encoding
  • Introduction to Skewness and Normal Distribution
  • Square and Cube Root Transformation
  • Log Transformation
  • BoxCox Transformation
  • Train, test and Validation split
  • Standardization and Normalization
  • Basic stats
  • Supervised / Unsupervised
  • Bias-variance tradeoff
  • Overfitting/ Underfitting
  • Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Evaluation metrics for Regression:- ROC/AUC/R2/Adg R2
  • SVM
  • Decision Tree
  • Random Forest
  • Ensemble technique
  • Bagging/Boosting/Stacking
  • KNN
  • Adaboost/ XGBoost
  • K-Means clustering
  • Hierarchical clustering
  • DBSCAN
  • PCA
  • Kernel PCA
  • Naive Bayes
  • Anomaly detection
  • Evaluation of unsupervised algorithms
  • Retraining ML Approaches
  • Basic of Neural Network
  • Type of Neural Network
  • Cost Function
  • Gradient descent
  • Linear Algebra basics
  • Vanilla Implementation of Neural Network in Python
  • Tensorflow In depth
  • Hands on Simple Neural Network with Tensorflow
  • Word Embedding
  • CROW, Skip-gram
  • Word Relations
  • Hands on word2vec
  • Convolutional Neural Network
  • Maxpool, Window padding
  • Hands On Convolutional Neural Network
  • Image classification using Convolutional Neural Network
  • Recurrent Neural Network Long Short Term Memory (LSTM) architecture
  • Building Story writer using character level RNN
  • Hands on Sentiment Analysis Hands on Embedding + RNN
  • Seq-to-Seq model
  • Hands on translation
  • Encoder Decoder
  • Hands on Cleaning images
  • CNN Architecture
  • LeNet
  • AlexNet
  • GoogleNet
  • VGGNet
  • ResNet
  • SSD

Course Projects

  • COVID 19 Data Analysis
  • Hotel Booking Analysis
  • Startup Case study and Analysis
  • Players performance Analysis
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iNeuron.ai

We are on a mission to build a professional product-driven community around the globe where an individual can collaborate, learn, share and develop real-time use cases with trending technologies. We at iNeuron Academy believe in delivering a quality curriculum with highly qualified professional team worked as Senior Data Scientist, Deep Learning Engineer and AI researcher in leading MNC's around the globe. Our main focus is to provide the different way of expertise for freshers as well as professionals through our community which makes them work, learn, develop and to grow in the competitive industry.

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