Artificial Intelligence

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron Aurélien Géron is a Machine Learning consultant. A former Googler, he led the YouTube video classification team from 2013 to 2016. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow

Are you preparing for your First Data Science or Machine Learning job or internship interview? Do you want to ace it with super-confidence and grab your first dream Data Science or Machine Learning job? If yes, we have designed something amazing just for you! 🌟 Introducing TensorHulk's Machine Learning Megapack 🌟 A power-packed megapack including, 🚀 200+ Expertly Crafted Real-world projects, In the domain of Data Science, Data Analytics, Machine Learning, Deep Learning, Computer Vision, and NLP. 🎓 Interview Preparation Kit With more than 1200+ Interview Questions carefully taken from the interviews of top companies. 📝 Hand-on-tutorial notebooks For almost every algorithm you will use as a Data Scientist and Machine Learning. Benefits: ✴️ Up-to-date(2023 ready) and error-free projects ✴️ Dedicated email support for doubt-solving ✴️ Lifetime access to all the projects ✴️ We update our projects every three months Boost Your Data Science Journey Now! Link: https://tensorhulk.in/machine-learning-megapack/

Are you preparing for your First Data Science or Machine Learning job or internship interview? Do you want to ace it with super-confidence and grab your first dream Data Science or Machine Learning job? If yes, we have designed something amazing just for you! 🌟 Introducing TensorHulk's Machine Learning Megapack 🌟 A power-packed megapack including, 🚀 200+ Expertly Crafted Real-world projects, In the domain of Data Science, Data Analytics, Machine Learning, Deep Learning, Computer Vision, and NLP. 🎓 Interview Preparation Kit With more than 1200+ Interview Questions carefully taken from the interviews of top companies. 📝 Hand-on-tutorial notebooks For almost every algorithm you will use as a Data Scientist and Machine Learning. Benefits: ✴️ Up-to-date(2023 ready) and error-free projects ✴️ Dedicated email support for doubt-solving ✴️ Lifetime access to all the projects ✴️ We update our projects every three months Boost Your Data Science Journey Now! Link: https://tensorhulk.in/machine-learning-megapack/

Have you spent a lot of time taking online courses🧑🏼‍💻 but still find it hard to solve problems🤯 in the real world? Want to create a rock-solid portfolio🏋️ of Data Science & Machine Learning projects? We know that completing courses is a great starting point, but it's only half the battle🏆. That's why we've created something that bridges the gap between theoretical knowledge 📚and real-life projects👨‍💼. 🌟 Introducing TensorHulk's Machine Learning Megapack 🌟 A power-packed megapack including, 🚀 200+ Expertly Crafted Real-world projects, 🎓 Interview Preparation Kit(Data Science/ Data Analytics/ Machine Learning), 📝 Hand-on-tutorial notebooks Benefits: ✴️ Up-to-date(2023 ready) and error-free projects ✴️ Dedicated email support for doubt-solving ✴️ Lifetime access to all the projects Ace Your Next Data Science Interview With Confidence!!! Visit : https://tensorhulk.in/machine-learning-megapack/📲

Learn Python in 11 Days You can learn python from basics to advance with the help of this eBook. This eBook also contains code examples and at the end of the book i gave 5 very interesting hands on python project with code. This book contains day wise Tasks that will make your your python learning path very easy. link of the eBook: https://imojo.in/7tOZ1h

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Learn Python in 11 Days You can learn python from basics to advance with the help of this eBook. This eBook also contains code examples and at the end of the book i gave 5 very interesting hands on python project with code. This book contains day wise Tasks that will make your your python learning path very easy. link of the eBook: https://imojo.in/7tOZ1h

Learn Python in 11 Days You can learn python from basics to advance with the help of this eBook. This eBook also contains code examples and at the end of the book i gave 5 very interesting hands on python project with code. This book contains day wise Tasks that will make your your python learning path very easy. link of the eBook: https://imojo.in/7tOZ1h

Learn Python in 11 Days You can learn python from basics to advance with the help of this eBook. This eBook also contains code examples and at the end of the book i gave 5 very interesting hands on python project with code. This book contains day wise Tasks that will make your your python learning path very easy. link of the eBook: https://imojo.in/7tOZ1h

As we have been getting messages and requests on how to start with projects in Data Science/ML, we tried to bring a list of few projects (found on kaggle). They cover Basics of Python, Advanced Statistics, Supervised Learning (Regression and Classification problems) Please also check the discussions and notebook submissions for different approaches and solution after you tried yourself. 1. Basic python and statistics Pima Indians :- https://www.kaggle.com/uciml/pima-indians-diabetes-database Cardio Goodness fit :- https://www.kaggle.com/saurav9786/cardiogoodfitness Automobile :- https://www.kaggle.com/toramky/automobile-dataset 2. Advanced Statistics Game of Thrones:-https://www.kaggle.com/mylesoneill/game-of-thrones World University Ranking:-https://www.kaggle.com/mylesoneill/world-university-rankings IMDB Movie Dataset:- https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset 3. Supervised Learning a) Regression Problems How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data IMDB Box office Prediction:-https://www.kaggle.com/c/tmdb-box-office-prediction/overview b) Classification problems Employee Access challenge :- https://www.kaggle.com/c/amazon-employee-access-challenge/overview Titanic :- https://www.kaggle.com/c/titanic San Francisco crime:- https://www.kaggle.com/c/sf-crime Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction Trip type classification:- https://www.kaggle.com/c/walmart-recruiting-trip-type-classification Categorize cusine:- https://www.kaggle.com/c/whats-cooking Hope it will be helpful and will add value to your learning and resume!

Photoshop is finished. 🏌 Imagine being able to perfect any picture exactly how you want it. Now it's as simple as drag and drop with this AI: Researchers from Max Planck Institute for Informatics, MIT and Google have developed DragGAN. It lets you 'drag' any part of a picture to exactly where you want it. DragGAN has 2 main parts: • Motion supervision — this guides the point you're moving towards the target position • Point tracking — this uses special features to keep an eye on the point you're moving This means it can make really realistic changes, even for difficult tasks like creating hidden parts of images or changing shapes while keeping them looking natural. Where Photoshop often requires intricate skill and knowledge, DragGAN makes complex edits as simple as drag and drop. While DragGAN excels at precise image deformation, I still feel Photoshop's comprehensive tools for graphic design hold value. Code: https://github.com/XingangPan/DragGAN Paper: https://huggingface.co/papers/2305.10973