#pythonml search results
@CDACINDIA is organizing online certificate courses with internship opportunities, starting from 18th March 2024 @GoI_MeitY #ethicalhacking #businessanalyticsAI #pythonML #NLP #cybersecurity #ICT
Visualizing Repositories Using plotly... I added clickable links to access every project from the graph. That’s a wrap . With this, I’ve completed my Python journey — from the basics to working with APIs! Next stop : Machine Learning 🧑💻 #pythonML #learningEveryday
4/ Hands-On Machine Learning with Python 🐍 🎓 Course: Machine Learning with Python: A Practical Introduction 📚 Platform: edX 📖 What you'll learn: Practical Python applications in machine learning, data preprocessing, and model building. #PythonML #HandsOnLearning
Thank you, Maviya! Delighted to hear your positive feedback on our Machine Learning with Python training at myTectra. We're thrilled to have empowered you in your learning journey! #pythonML #pythonMachineLearning #machineLearningWithPython #ML #myTectra #MLTraining
4/7 ✅ Running the Model 🖥️ - We are getting output with 10 classes! #PythonML #AIForAll #PyTorchTutorial
Closed the module with the Transformer architecture and the innovations behind modern language models. From Shakespeare-style text generation to Neural Machine Translation — this chapter was a perfect finish. On to the next phase 💪 I'm not stopping.. #pythonml #learningeveryday
Day 19/40 of Python-ML. Today I dived into a complete ML workflow using real-world data! I learned how to: • Frame a problem & choose performance metrics • Explore, visualize & find correlations • Clean & prepare data • Handle categorical/text features #pythonML #End2EndML
Day 23/40 of python-ML. Still on Training models- today i learnt how to improve model performance through: .Learning Curves .Regularized Linear Models — Ridge, Lasso, and Elastic Net .Early Stopping to prevent overfitting and save training time. #pythonML
Python's essential role in ML due to its libraries, ease of use, and community support. 🐍 #PythonML #TechSkills
"Gratitude to everyone who joined Day 2 of our Python ML track. Your presence made it a success. Looking forward to more learning and collaboration ahead! 🚀 #PythonML #GdscNdejje
. Backpropagation helps networks learn complex patterns Secondly, Using Keras with TensorFlow 2, I explored: . Building models via Sequential, Functional & Subclassing APIs . Monitoring training with Callbacks & TensorBoard . Saving and restoring trained models #pythonML #keras
3/7 🐍 Python reigns as a top programming language for machine learning. With the zkML transpiler, developers can seamlessly convert their Python models into verifiable ones using Aleo's Leo programming language. #PythonML
Day 27/40 of Python-ML. Dimensionality Reduction Learned how to simplify complex data while keeping its essence. Covered: • The curse of dimensionality • Projection & manifold learning • PCA & explained variance • Kernel & Incremental PCA • LLE & others #pythonMl
Day 21/40 of Python-ML. Classification in ML. Today I Explored how models classify data using the MNIST dataset. Learned about: • Binary & multiclass classification • Confusion matrix, precision & recall • ROC curve & trade-offs #pythonMl #LearningEveryday
Day 37/40 of Python-ML. Today I continued with Deep Computer Vision using CNNs and explored how models learn to see patterns. Covered: • Visual cortex inspiration • Convolutional layers and filters • Stacking feature maps • Pooling layers Steady progress. #pythonml
Day 35/40 of python-ML. TensorFlow Data Pipelines Today I went deeper into how data actually flows in ML models. Learned: • Loading & preprocessing with tf.data • Chaining ops, shuffling, batching, prefetching • Working with TFRecord + protobufs #pythonML
Day 34/40 of python-ml. Today I went deeper into TensorFlow—beyond basic models. Covered: • TF vs NumPy • Custom losses, metrics & layers • When to use dynamic models • Built my own Layer Normalization • Wrote a full custom training loop for Fashion-MNIST #pythonML
🚀 **Python: ML's Ultimate Weapon? ABSOLUTELY!** Why? 1️⃣ Dead-simple syntax—prototype like a boss! 2️⃣ Killer libs: TensorFlow, PyTorch, Scikit-learn FTW. 3️⃣ Epic community + endless resources. 4️⃣ Scales from notebook to prod, future-proofed. #PythonML #MachineLearning
ML isn’t just about algorithms — it’s about understanding data and building reliable models. Key lessons so far : • Not enough or poor-quality data hurts performance • Overfitting & underfitting are real struggles • Model tuning and validation are crucial #pythonML
If you prefer to see the code, a sample MatMul is here: github.com/NVIDIA/cutile-…
simply because static typing by design leads to fewer errors and easier automated self-checks, but you can achieve the same in python by requiring the llm to use type annotations
A collection of Python implementations for ML algorithms built from scratch github.com/TheAlgorithms/…
Як створити власну ML-модель на Python: на прикладі класифікації URL-адрес dou.ua/forums/topic/5…
Як створити власну ML-модель на Python: на прикладі класифікації URL-адрес dlvr.it/TPfKtB
The Complete Guide to Using Pydantic for Validating LLM Outputs machinelearningmastery.com/the-complete-g…
I think that LLMs are weak at WGSL in my case. In my codebase, Python serves jusr to expose CLI flags from the backend
you're wrong. python ai/ml libraries are written in c/c++ for speed and GPU parallellism while python is just a wrapper around it. he's kinda right, you'd never have to use 1 billion nested loop in most production cases except you're doing vector diagonalization and matrix…
Using Pydantic for Validating LLM Outputs machinelearningmastery.com/the-complete-g…
Learn AI ML using python online #OnlineLearning #ArtificialInteligence #MachineLearning #pythonprogramming #pythonlearning
day 2 of my ai/ml journey continuing with python fundamentals. today i covered functions - learned how to define them, pass parameters, return values, and wrote several basic scripts to practice. building the foundations right again #aimljourney #python
i just pasted that into mistral.ai and it immediately started writing a python file with every import that ever existed haha
day 1 of my ai/ml journey i'm transitioning from cybersecurity to ai/ml i'm starting again with python (variables, data types basic input/output and writing basic scripts) i'm getting the basics solid again before moving on. #ai #machinelearning #aimljourney #python
Hmmm interesting, prek issue opened for pyproject TOML support (github.com/j178/prek/issu…) after someone suggested supporting TOML as an alternative to YAML github.com/j178/prek/issu…
Day 7/100: #100DaysOfMLCode Paper: LeNet-5 Task: Engineering & MLOps Graduated from Jupyter Notebooks to modular Python scripts. 🎓 Refactored the codebase into: 📄 model.py (Architecture) 📄 data_setup.py (ETL) 📄 train.py (Training Engine)
I think MMT is perfectly consistent with mv=py, but they say m 👆gives y 👆, and not p 👆.
Some sample project i worked on: Using exception to prevent crashes , handling FileNotFoundError, and analyzing text . On the second frame is a sample of storing data using json and refactoring into more easier and understandable program... #pythonML #LearningEveryday
Day 10/40 of my Python journey. After learning the basics, I’ve started my first real project — Alien Invasion 🛸 using Pygame. So far, I’ve built the game window, background, and ship display. Excited to make it come alive! ⚡ #PythonML
@CDACINDIA is organizing online certificate courses with internship opportunities, starting from 18th March 2024 @GoI_MeitY #ethicalhacking #businessanalyticsAI #pythonML #NLP #cybersecurity #ICT
Python is widely considered as the preferred language for teaching and learning Ml (Machine Learning). As compared to C, C++ and Java the syntax is simpler and Python also consists of a lot of code libraries for ease of use. #Python #ML #PythonML #Shadow
practiced using Matplotlib to create a scatter plot(showing start and ending point), histogram and line graph. visuals makes data clearer and more powerful. #pythonML #matplotlib #learningEveryday
Visualizing Repositories Using plotly... I added clickable links to access every project from the graph. That’s a wrap . With this, I’ve completed my Python journey — from the basics to working with APIs! Next stop : Machine Learning 🧑💻 #pythonML #learningEveryday
Alien Invasion Game is finally complete . You start by choosing your difficulty level, then dive into the battle. The game now features a scoreboard, high score tracking (saved even after restart), and shows the remaining ships (lives) as you play. #pythonML #pygame @clcoding
Masked #mammogram data-sets seem to be extremely popular with young data scientists and developers. The number of tests run with #PythonML on mammography data keeps growing everyday. #machinelearning #datascience #Python #breastcancer #oncology #medtech #acumen #healthdata
4/7 ✅ Running the Model 🖥️ - We are getting output with 10 classes! #PythonML #AIForAll #PyTorchTutorial
Data Warehousing E-Learning Video Courses ✅13 Career building courses @ Rs 1,999/- Contact / WhatsApp +91 9676 33 6666 Visit us visualpath.in/datawarehousin… #DataScience #pythonML #ArtificialIntelligence #AI #AppleEvent #RahulVaidya
4/ Hands-On Machine Learning with Python 🐍 🎓 Course: Machine Learning with Python: A Practical Introduction 📚 Platform: edX 📖 What you'll learn: Practical Python applications in machine learning, data preprocessing, and model building. #PythonML #HandsOnLearning
Under #ESoWC2021 STREAM 2 on #MachineLearning 👀Browse challenge 24➡️ CliMetLab: extending new #pythonml package to simplify access to #climate and #weather #data github.com/esowc/challeng… @ECMWF @CopernicusECMWF @pyladies Apply before 16 Apr👉 esowc.ecmwf.int
Got a great idea but not sure how to pitch it? Meet our #MyGalileoApp mentor and a @SiliconLondon Cofounder @FrancescoAgape! He's your go-to-person for any entrepreneurship #startup business modeling questions! 💡 #PythonML #UseGalileo @infosharepl @geoworldmedia @geoawesomeness
Python's essential role in ML due to its libraries, ease of use, and community support. 🐍 #PythonML #TechSkills
"Gratitude to everyone who joined Day 2 of our Python ML track. Your presence made it a success. Looking forward to more learning and collaboration ahead! 🚀 #PythonML #GdscNdejje
🚀Explore the synergy of Python and Machine Learning in #AWSDevOps with me at #Conf42Python! 🌐conf42.com/Python_2024_Gu… Let's unlock the potential of AI-driven DevOps together! 🌟 #PythonML #MachineLearning #CloudInfrastructure #DevOpsOptimization #TechConference #AIinDevOps
Boost your AI career with the Scikit-Learn Machine Learning Certification 🎯 Take the Free Certification Exam : edchart.com/certificate/sc… 🏅 Earn a Globally Recognized Digital Badge : credly.com/org/edchart-te… #ScikitLearn #MachineLearningCertification #PythonML #DataScience
Not sure when to use SelectKBest, RFE, or SelectFromModel? 🤔 Here’s a quick visual summary of feature selection methods in Scikit-Learn: 🧠 Simple → Powerful 📊 Efficient → Accurate 📎 buff.ly/Lr3X5q5 #DataScience #AIWorkflow #PythonML
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