Explore tweets tagged as #numPy
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Day 13 of data science .Broadcasting in numpy✅.Built in mathematical function in numpy✅.Started with pandas✅
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Python Libraries for Data Analysts & Engineers. • Pandas – data wrangling & analysis.• NumPy – numerical computing.• SQLAlchemy – SQL in Python.• PySpark – big data processing.• Polars – faster DataFrame ops.• Matplotlib/Seaborn – data visualization. Follow for more
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Complete courses on Python, Pandas, Numpy and Matplotlib now available on AI Learning Hub . More AI materials coming soon.
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Today I learnt forward prop and was amazed by the TensorFlow library, so I decided to learn from the scratch. Took a statement and created the neural system using NumPy from the scratch. That was so cool!
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> Introducing Num-RS .> A NumPy like multi-dimensional array implementation in Rust with Python bindings. > Inspired by @mrsiipa's Smolar a NumPy like implementation in C and @ISusmelj's RustyNum a NumPy alternative in Rust. > I will update regularly my progress on this project.
dawg i am going to make a really fun project in rust, i wont reveal it now.
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Built a Neural Network from scratch using NumPy.- Trained on MNIST for digit classification.- Used a 3-layer setup with ReLU & Softmax.- Tested optimizers: SGD, Momentum, Adam.- Best result:~97.6% val accuracy with SGD.- Applied Dropout and L2 regularization to reduce overfitting
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Day 70 of my #DataScience Journey 🚀.Late start at 8 AM, but no excuses!.✅ Explored a new Python project.✅ 4+ hrs focus study with NumPy & ChatGPT.✅ Evening Maths grind. Step by step, building my future in Data Science. 💻📊.#100DaysOfCode #DataScience #Python #Consistency
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just because I am pushing myself not to `import numpy as np` while prototyping in marimo
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Day 10 :.Revised Numpy, Linear Algebra, Pandas.
Day 9 :.Watched 7 videos today. Loved the flow of thiss playlist , will be completing this playlist.Need to grind basics more before getting back to the Udemy course.
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Your complete Python Roadmap.-Basics: Syntax, Functions, Data Types.OOP & DSA: Classes, Inheritance, Queues.-Web & Automation: Django, Scrapy, PyAutoGUI.-Testing: Unittest, Pytest, TDD.-Data Science: Pandas, NumPy, Sklearn. #Python #LearnToCode #DataScience #PythonRoadmap
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Pythonでデータ分析やるなら必須のPandasやNumpyのチートシートがまとまってるのめちゃいいな. 他にもデータ可視化時にどんなグラフを使うか決めれるフロー図や、機械学習系のチートシートもあってこれはかなりおすすめ
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Python Numpy Essentials for Data Science and Machine Learning. #Python #DataScience #BusinessIntelligence #DataAnalytics #MachineLearning.#ArtificialIntelligence #Developers #DataAnalyst #ProgrammingLanguage #Coding #CheatSheets
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I started Data Science last Month .What I did -.> Python Numpy Pandas.> Learn Maths -Linear algebra, Probability, Calculus, Stats.> then I did Machine learning Supervised- unsupervised .> Made 4 models -3 Class,1 Regression model , Learn a lot .>Dsa- 27 que, locked in for August
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Day 35 of my daily coding journey:. -Explored the k-NN algorithm while diving into the Scikit-learn library. -Studied how data storage differs between NumPy and TensorFlow. -Revisited inference theory and got clearer on activation vectors in Neural Networks. #100DaysOfCode
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