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Precision Data Science
United States
Приєднався 21 кві 2023
Welcome to Precision Data Science, Where Every Byte Counts.
Meet Aravind, our skilled AI Engineer/Data Scientist. Aravind's expertise is the driving force behind our transformative data solutions. Navigating the intricate world of data science and AI engineering, he crafts intelligent solutions that quietly push boundaries.
Join us on a realistic journey where each line of code reflects our commitment to excellence. Aravind's contributions extend beyond algorithms; they quietly resonate across industries.
Subscribe to our channel for a genuine peek into the mind of an AI Engineer. Explore the frontiers of data-driven marvels and witness the unfolding saga of Aravind's endeavors at Precision Data Science. 🌐✨ Don't miss the authentic possibilities that lie at the intersection of data and innovation! 🔍💻 #datascienceprojects #aiengineer #PrecisionDataScience #MeetTheTeam
Meet Aravind, our skilled AI Engineer/Data Scientist. Aravind's expertise is the driving force behind our transformative data solutions. Navigating the intricate world of data science and AI engineering, he crafts intelligent solutions that quietly push boundaries.
Join us on a realistic journey where each line of code reflects our commitment to excellence. Aravind's contributions extend beyond algorithms; they quietly resonate across industries.
Subscribe to our channel for a genuine peek into the mind of an AI Engineer. Explore the frontiers of data-driven marvels and witness the unfolding saga of Aravind's endeavors at Precision Data Science. 🌐✨ Don't miss the authentic possibilities that lie at the intersection of data and innovation! 🔍💻 #datascienceprojects #aiengineer #PrecisionDataScience #MeetTheTeam
End To End Machine Learning Project with Deployment | Heart Disease Prediction
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into Heart Disease prediction dataset from Kaggle.
This dataset offers a playground for RandomForest as a Classification model, to test the capabilities to make accurate predictions. We'll unravel the nuances of this algorithm, dissecting its parameters with GridSearchCV method to make accurate predictions.
📈 Join us as we navigate through the features of the Heart Disease prediction dataset, understanding how Random Forest Classifier can be used to predict the Heart disease based on customer data. Our goal is to equip you with a solid understanding of Random Forest Classifier’s application in Heart disease prediction analysis and, deployment for your own data science projects.
🧠 Subscribe to PrecisionDataScience to stay updated on our data-driven journey and unlock the potential of RandomForest algorithm for Classification.
Channel: @precisiondatascience #DataScience #MachineLearning #RandomForest #Kaggle #HeartDiseasePrediction 🌐🔍
This dataset offers a playground for RandomForest as a Classification model, to test the capabilities to make accurate predictions. We'll unravel the nuances of this algorithm, dissecting its parameters with GridSearchCV method to make accurate predictions.
📈 Join us as we navigate through the features of the Heart Disease prediction dataset, understanding how Random Forest Classifier can be used to predict the Heart disease based on customer data. Our goal is to equip you with a solid understanding of Random Forest Classifier’s application in Heart disease prediction analysis and, deployment for your own data science projects.
🧠 Subscribe to PrecisionDataScience to stay updated on our data-driven journey and unlock the potential of RandomForest algorithm for Classification.
Channel: @precisiondatascience #DataScience #MachineLearning #RandomForest #Kaggle #HeartDiseasePrediction 🌐🔍
Переглядів: 708
Відео
Avoid Common Mistakes in Sentiment Analysis | Machine learning Project
Переглядів 2292 місяці тому
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into the fascinating world of Logistic Regression applied to sentiment analysis, using the Amazon review dataset as our foundation. The Amazon review dataset (Dataset Link: https: drive.google.com/file/d/18NdMkN8vyIV_4LxumCcGcM1ltd884CsM/view?usp=sharing, PDF Code: forms.gle/jxLJnTtzx5C1RRoC8 ), renowned in the realm of machine...
Mercedes Benz Greener Manufacturing Project | End-to-End Machine Learning Project
Переглядів 2683 місяці тому
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into Mercedes Benz Greener Manufacturing dataset. This dataset offers a playground for XGBoost as a regression model and PCA as Dimensionality reduction technique, to test its the capabilities to make accurate predictions. We'll unravel the nuances of this dataset, dissecting its parameters with PCA technique to make accurate p...
End To End Machine Learning Project | Multi-Class Obesity Prediction | Kaggle Competition
Переглядів 4073 місяці тому
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into Multiclass Obesity Risk prediction dataset from Kaggle playground series. This dataset offers a playground for XGBoost as a Classification model, to test the capabilities to make accurate predictions. We'll unravel the nuances of this algorithm, dissecting its parameters with RandomizedSearchCV method to make accurate pred...
Customer Churn Prediction using Machine Learning (Kaggle Playground Series 2024)
Переглядів 1804 місяці тому
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into Bank Churn prediction dataset from Kaggle playground series. This dataset offers a playground for XGBoost as a Classification model, to test the capabilities to make accurate predictions. We'll unravel the nuances of this algorithm, dissecting its parameters with RandomizedSearchCV method to make accurate predictions. 📈 Jo...
CALIFORNIA HOUSE PRICE PREDICTION - MACHINE LEARNING
Переглядів 2165 місяців тому
🌐 Welcome to @PrecisionDataScience! 📊 In today's video, we're diving into California house price prediction dataset from 1990 US census data. This dataset offers a playground for XGBoost as a Machine Learning model, to test the capabilities to make accurate predictions for regression analysis. We'll unravel the nuances of this algorithm, dissecting its parameters with gridsearchCV method to mak...
Machine Learning applied to WaPo school shooting dataset.
Переглядів 1315 місяців тому
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into the fascinating world of Random Forest Algorithm applied to Washington Post school shooting dataset. The Washington Post, renowned for creating Pulitzer Prize-winning database, offers a playground for exploring Random Forest Algorithm's capabilities in predicting the presence of School Resource Officer (or SRO ) in school ...
Logistic Regression for Multi-class dataset?
Переглядів 1096 місяців тому
🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into the fascinating world of Logistic Regression applied to multi-class datasets, using the classic Iris dataset as our foundation. 🌺 The Iris dataset, renowned in the realm of machine learning, offers a playground for exploring Logistic Regression's capabilities in predicting and classifying different iris flower species. We'...
Machine Learning project to predict African Crisis.
Переглядів 5446 місяців тому
In today's exploration, we embark on the intriguing journey of constructing a machine learning model aimed at predicting the likelihood of a banking crisis in African nations. Our dataset encompasses a rich array of crisis-related data from 13 diverse African countries, providing us with a comprehensive foundation for our analytical endeavors. Within this repository of information lie key indic...
Could u plz provide data set link plz
www.kaggle.com/competitions/mercedes-benz-greener-manufacturing/overview Here is the dataset link.
Sprb explanation sir we are expecting much more but i have one doubt why random forest why not any other ml algo
Thank you, sure will make more videos. Generally, Bagging and boosting algorithms tend to perform better. Since this was a toy dataset, I preferred Random forest as it provides better generalization and reduces overfitting. You can compare the accuracies from UCI ML repository.
archive.ics.uci.edu/dataset/45/heart+disease You can compare the accuracies here.
👍 Great explanation!
Thank you Deepali 😊
Very well explained!!
Thank you Deepali 😊
❤
😂😂😂😂❤❤ Привет
hey bro,are you a student?
Yes, a lifelong learner. 😊
Nice Job.🤑
Thanks! 😊
I am murari ✌️