6. Capstone Project Build a Data science project from scratch: After completing all the above courses take Harvard’s data science capstone project. Assess your skills in data visualization, statistics, data wrangling and machine learning.
@sumanth_077
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Machine Learning Basics: Overfitting, Modeling, and Recommendations
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5. Machine Learning This course will teach you the basics of machine learning, techniques to mitigate overfitting, supervised and unsupervised modelling approaches, and recommendation systems.
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Data Pre-Processing: Preparing Data for Machine Learning Models
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3. Data Pre-Processing This will teach you to prepare data and convert it into a format that is easily digestible by machine learning models.
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Statistics Fundamentals for Data Science Learning
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2. Statistics: Learn the fundamentals of statistics required for Data Science
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Harvard Free Online Courses: Python, Data Science, Machine Learning
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Harvard University is offering online courses on: – Python
– Data Science
– Machine Learning
– Data Preprocessing
– Data Visualization &
– Statistics No application required! Here are 5 FREE courses you don't want to miss: -
PyTorch Labs GPT-Fast Repository Link Shared
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Repo: https://
github.com/pytorch-labs/g
pt-fast
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PyTorch Releases GPT-Fast for Efficient Text Generation
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Pytorch released GPT-fast!⚡️
— Sumanth (@Sumanth_077) 5 mars 2024
This is a simple and efficient implementation of pytorch-native transformer text generation:
Here are some key features:
– Very low latency
– <1000 lines of python
– No dependencies other than PyTorch and sentencepiece
– int8/int4 quantization
-… pic.twitter.com/chk4ms5nf6Pytorch released GPT-fast! This is a simple and efficient implementation of pytorch-native transformer text generation: Here are some key features: – Very low latency
– <1000 lines of python
– No dependencies other than PyTorch and sentencepiece
– int8/int4 quantization
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Python ML MLOps CV NLP LLMs Daily Tutorials
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If you are interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs Find me → @Sumanth_077 Everyday, I share tutorials on above topics! Like/RT the first tweet to help this reach more people!
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Predict Method: Binary Classification with 0.5 Threshold
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Finally the predict method: It uses the trained model to make predictions based on input features. This method applies a threshold of 0.5 to make binary predictions, returning 1 for positive class predictions and 0 for negative class predictions.
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Define the Fit Method for Model Training with Gradient Descent
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Define the "fit" method that does the training of model The method takes input data "X" and the corresponding target values "y" It also updates the weights and bias using gradient descent.