Data Science

- Full lifetime access
- Access on mobile and TV
- Certificate of completion
- Downloadable resources
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LevelAll Levels
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Last UpdatedApril 11, 2022
Material Includes
- 45 Chapters
- 5 Modules
- Project with every module
- Tutorial
Requirements
- No prior experience is required. We will start from the very basics
- You’ll need to install Anaconda. We will show you how to do that step by step
- Microsoft Excel 2003, 2010, 2013, 2016, or 365
Target Audience
- Anyone who wants to start a career in data science
CURRICULUM
Excel
Excel Introduction & Math FormulasText, Datetime, Logical Function Lookup & Formatting, Data ValidationCharts, Macros, Shortcuts
Python
Environment setup Basics Data TypesData Type and Data StructureData Structure & String FormattingConditional StatementFunctions & Lambda(Advance Function)Function & ModulesNumpyPandas, Matplotlib, Seaborn, Exception Handling
Machine Learning
Machine Learning IntroductionLinear & Logistic RegressionKNNDecision TreeRandom Forest & Extra Random TreesXGBOOSTDBSCAN ClusteringNeural NetworkRidge and Loasso RegularizationK Means Clustering & Mini Batch K Means Clustering
Projects
Bank Loan Prediction Project
NLP
Introduction to NLP 1Tagging & HMMNaive Bayes & Sentiment AnalysisWord2Vec, Embedding, Dot ProductNeural Network, RNN, Bi-Directional RNNPractical Implementation of Count Vectorizer(Weather Disaster)Practical Implementation of Amazon Alexa datasetPOS tagging & NERNews Headline Sarcasm Detection, LDA, Gensim
Project
NLP Weather Prediction
Deep Learning
Introduction to Deep LearningMNIST Handwritten digit classificationCNN CNN ImplementationRCNN, Fast RCNN, Faster RCNN, Tensorflow HUBFast RCNN ImplementationModel DeploymentDetectron2 ModelSentiment Classification with Neural Network
Project
YOLO V4 Project
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