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Data Analytics

  • CRISP-ML(Q)
  • Data Types
  • Data Collection
  • EDA - Exploratory Data Analysis
  • EDA - Graphical Representation
  • Data Preparation - AutoEDA
  • Data Preparation
  • Feature Engineering
  • Probability Distribution
  • SQL
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  • PowerBI - Data Visualization
  • Tableau - Charts
  • Tableau - 2
  • Excel - 1
  • Excel - 2
  • Google Looker Studio
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Data Science

  • CRISP-ML(Q)
  • Data Types
  • Data Collection
  • EDA - Exploratory Data Analysis
  • EDA - Graphical Representation
  • Data Preparation - AutoEDA
  • Data Preparation
  • Feature Engineering
  • Probability Distribution
  • Meta Learning
  • Data Mining Supervised Learning Part 1
  • Data Mining Supervised Learning Part 2
  • Explainability Techniques
  • eXplainabilty and Interpretability
  • Model Building Clustering
  • Model Building Dimension Reduction
  • Model Building Recommender System
  • Model Building Network Analytics
  • Model Building Association Rules
  • Text Mining and NLP Pipeline Part 1
  • Text Mining and NLP Pipeline Part 2
  • Data Mining Supervised Learning Predictive Modeling - Evaluation Techniques
  • Data Mining Supervised Learning Predictive Modeling - Graphical Evaluation Techniques
  • Naive Bayes
  • KNN Distance Based Algorithm
  • Decision Tree
  • Ensemble Methods
  • Ensemble - Non Generative Models Voting and Stacking
  • Generative Models - AdaBoost
  • Generative Models - Gradient Boosting
  • Generative Models - eXtreme Gradient Boosting
  • Generative Models - Bagging
  • Generative Models - Random Forest
  • Hypothesis Testing
  • Supervised Learning - Linear Regression
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  • Regression Techniques
  • Deep Learning Primer
  • Activation Function
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Deep Learning

  • Computer Vision
  • CNN Part - 1
  • CNN Part - 2
  • Object Detection RCNN
  • Object Detection FastRCNN
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  • RNN
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  • BERT Variant
  • GPT
  • Reinforcement Learning
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Data Engineering

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MLOPS

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Prompt Engineering

  • Basic Flow of Prompt Engineering
  • Basic Prompt Techniques Part 1
  • Basic Prompt Techniques Part 2
  • Basic Prompt Techniques Part 3
  • Advance Prompt Techniques Part 1
  • Advance Prompt Techniques Part 2
  • Advance Prompt Techniques Part 3
  • Advance Prompt Techniques Part 4
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Generative AI

  • LLM Basic
  • Fine Tuning
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  • Hyperparameter
  • Regularization Techniques
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  • Foundation model
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  • Vector Database Intro
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  • GIF
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CRISP-ML(Q)
360digitmg

360DigiTMG is one of world pioneer training institutes that has trained India's leading professionals. The curriculum of each certification program is designed meticulously as per the latest market trends.

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Data Science
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