#scikit_learn resultados da pesquisa

Using GridSearchCV in Support Vector Classifier for choosing the best parameters to predict the output with the highest accuracy. #svm #machine_learning #scikit_learn

Naive Bayes model to predict the survival of the Titanic dataset. #scikit_learn #classification_algorithm #naive_bayes #machine_learning

K-Nearest-Neighbour model to predict the survival of the Titanic dataset. #scikit_learn #classification_algorithm #knn #machine_learning

Logistic Regression model to predict the survival of the Titanic dataset. #scikit_learn #classification_algorithm #machine_learning

If my model is predicting the answer as yes or no. So, which method do I choose to train the data:- GaussianNB KNeighborsClassifier Logistic Regression #regression #scikit_learn #machinelearning

Day 78/100 Use nested loops to remove unwanted characters from multiple col Create bubble charts using the #Seaborn Library Use Seaborn to superimpose a #linear_regression How well the model fits thedata and the r-sq. metric #scikit_learn and calculate the coefficients. #Python

In their work, they analyzed data from 1002 Nigerians (500 with MDD and 502 controls) from the @nimrnigeria study. Using #Scikit_learn in #Python, they have trained models to predict MDD risk 6/13

🟣tisthemachinelearner a lightweight interface to #scikit_learn with 2 classes classifier and #regressoin #PYTHON and R 👇👇 facebook.com/10006005112847…

Classifier comparison in scikitlearn : read the thread: #scikitlearn #scikit_learn #Machine_learning #AI #Datascience #علوم_البيانات #الذكاء_الاصطناعي

In simpler terms, if you’re given a probability (like 0.1 for the top 10%), the quantile function tells you the corresponding value from your data set that matches this probability. Code: QuantileTransformer class via #scikit_learn

بنابراین، نباید مدل‌های تکی را در stacking بهینه کنید✔️ ایده Stacked Generalization اولین بار توسط Wolpert در سال ۱۹۹۲ در کتابش مطرح شد ولی طی مسابقات #kaggle در سال 2019 متوجه قدرت این ایده شدند و بعدشم در #Scikit_learn آوردنش📚   البته به شخصه هنوز ازش استفاده نکردم😅

Will be working on Machine Learning in this month #scikit_learn #opencvlibrary

انجام پروژه Scikit-learn #Scikit_learn #پروژه_Scikit_learn #انجام_پروژه_Scikit_learn matlabprozhe.com/%d8%a7%d9%86%d…

Very cool! The #scikit_learn docs now include JupyterLite integration. Experience the power of running examples directly in your browser. 🚧 Currently only in the dev version Check it out here: scikit-learn.org/dev/auto_examp…

واقعاً اثر هنریه این #scikit_learn #cpu_usage

Day611：scikit-learn学習 ●GradientBoostingClassifier： →勾配ブースティング ・浅い決定木を複数組み合わせ 　修正しながら学習 ・チューニングでRandamForestを上回る ・重要度で無視する特徴量が出る #python #scikit_learn #oreilly #今日の積み上げ

サンプルデータでボストンの住宅価格を予測しました #scikit_learn #Python

決定木画像表示できた！ brew install graphviz のメッセージにあった xcode-select --install brew install --build-from-source [email protected] を実行後、再度 graphvizインストール実行で成功 xcodeとpythonのバージョン相性で インストールが未完了だった？ #python #scikit_learn #今日の積み上げ

Day603：scikit-learn 少ない記述量で学習・予測・評価まで可能 ・train_test_split テスト用データと分ける ・fix：学習 ・predixt：予測 ・accuracy_score：評価（100%を１で出力） #python #scikit_learn #今日の積み上げ

Day604：scikit-learn 機械学習によるiris(アヤメ)の分類 predict：データからモデルを使って予測 決定木： 機械学習がどういう条件で 判断しているか可視化 決定木はエラーで 画像表示できなかった #python #scikit_learn #今日の積み上げ

Day610：scikit-learn学習 ・k-最近傍法：近い値から予測 n_naighborsは参考点数で結果変化 ・線形モデル： y=ax+bの様な単純なケース予測 特徴から傾き(a)切片(b)を算出 複雑な特徴に対応不可 →リッジ回帰 線形をパラメータalphaで調整 #python #scikit_learn #oreilly #今日の積み上げ

Day617 scikit-learn学習 ●スケール変換 機械学習は全特徴量の スケールがあっている前提 →決定木は特徴量毎に比較するので不要 MaxMinScaler：最大1、最小0に変換 ※注意点 学習とテストデータの別変換は スケールが狂い正しい結果を出力しない #python #scikit_learn #oreilly #今日の積み上げ

Day611：scikit-learn学習 ・DecisionTreeClassifier 決定木：判断条件を組み合わせた物 特徴量の重要度（判断に使われる割合）が 一つに集中 ・RandamForest 異なる複数の決定木の平均 最も広く使われている学種手法 重要度が分散して総合的に判断 #python #scikit_learn #oreilly #今日の積み上げ

Interested in a self-contained, batteries-included example of using a neural network to classify landcover from @NASA_Landsat? Just finished this tutorial using python, #rasterio, #scikit_learn, and #keras that you can run directly in Google Colab: github.com/patrickcgray/d…

Will be working on Machine Learning in this month #scikit_learn #opencvlibrary

#Scikit_learn #TensorFlow #PyTorch Scikit learn vs TensorFlow, PyTorch

olympus1.mygreatlearning.com/course_certifi… ... #AI #scikit_learn #machine_learning #python #python_library #AI_methods

Classifier comparison in scikitlearn : read the thread: #scikitlearn #scikit_learn #Machine_learning #AI #Datascience #علوم_البيانات #الذكاء_الاصطناعي

Chapter 6 has arrived 🎉🎊 If you wanna learn about k-means clustering, how it works, apply it on customer segmentation, and know its limitations, grab a copy of @ManningBooks "How Machine Learning Works" at: manning.com/books/how-mach… #MachineLearning #python #scikit_learn #AI

If you are newbie to #ML you must have already come across Linear Regression, the hello world algo in #ML Let us revisit the ways to implement the algo and can you guess whats been used in #scikit_learn ?

¡Aprende Machine Learning con #Scikit_Learn! Ya puedes inscribirte en este #MOOC de @Inria en el que aprenderás a crear modelos predictivos y comprenderás los conceptos fundamentales sobre el aprendizaje automático ¡y gratis!🤩. Averigua y participa aquí 👉fun-mooc.fr/en/courses/mac…

Logistic Regression model to predict the survival of the Titanic dataset. #scikit_learn #classification_algorithm #machine_learning

For a limited time ⏳Half off "How Machine Learning Works" in @ManningBooks deal-of-the-day. Use code dotd020920tw at bit.ly/39itAJe. #MachineLearning #python #scikit_learn #AI #DataScience #Math

Ch. 5: K-nearest Neighbors Method, now live at manning.com/books/how-mach… @ManningBooks 🎉🎉 Learn how kNN works, how clever data structures makes it faster, apply it to real-world problem using #scikit_learn, and learn how reliable is it to use. #MachineLearning #knn #ml #AI