Data Science
Data Science Real World Projects - Freshers to Advance Level, First step towards Data Science in this competitive job market.
Course Description
In this comprehensive course, we present to you ...
Time Series Analysis and Forecasting using Python, Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN.
Course Description
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Convolutional Neural Networks in Python: CNN Computer Vision, Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & TensorFlow 2.
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Course in Data Architecture A to Z Tutorial, Learn Course in Data Architecture A to Z Tutorial of Data Architecture Data Visualization Computer Architecture.
Course Description
Course in ...
Mastering MLOps: From Model Development to Deployment, A Practical Guide to Building, Automating, and Scaling Machine Learning Pipelines with Modern Tools and Best Practices.
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ARIMA Machine Learning- timeseries forecasts. CO2 case study, ML based forecasting of CO2 series for various regions.
Course Description
1. Use this code at checkout (remove spaces) for the best ...
QnA Chatbot Development: From Concept to Deployment, Create Smart QnA Chatbots: Transform Information into Instant Answers.
Course Description
"Welcome to the QnA Chatbot Development Course!"
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Intro to ChatGPT: The Essential Skills for Getting Started, Master the Art of Writing with ChatGPT AI: Boost Your Blogging, Sales Copy, and More.
Course Description
Are ...
Full-Stack AI with Ollama: Llama, Deepseek, Mistral, Phi-2.., Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More.
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Python Projects, A course designed for beginners to learn computer vision and data science projects.
Course Description
"Welcome to my comprehensive Python Projects Course, a journey that will ...
Text Mining & Optical Character Recognition with Python, Topic modelling, news classification, NER, sentiment analysis, keyword extraction, license plate recognition system.
Course Description
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