Naina Chaturvedi

✅Cross-validation in ML is particularly useful for estimating how well a model will perform on unseen data - Explained in Simple terms. A quick thread 🧵👇🏻 #MachineLearning #...

Naina Chaturvedi

@NainaChaturved8

✅ Principal Component Analysis ( PCA) is an important technique in ML - Explained in simple terms. A quick thread 👇🏻🧵 #MachineLearning #Coding #100DaysofCode #deepl...

Naina Chaturvedi

@NainaChaturved8

✅ Training and Evaluation in ML - Explained in simple terms. A quick thread 🧵👇🏻 #MachineLearning #Coding #100DaysofCode #deeplearning #DataScience PC : Research Gate...

Naina Chaturvedi

@NainaChaturved8

✅Convolutional Neural Network - Explained in simple terms with implementation details (code, techniques and best tips). A quick thread 👇🏻🧵 #MachineLearning #DataScientist...

Naina Chaturvedi

@NainaChaturved8

✅Clustering in Machine Learning - Explained in simple terms with implementation details (code, techniques and best tips). A quick thread 👇🏻🧵 #MachineLearning #DataScientist #...

Naina Chaturvedi

@NainaChaturved8

✅Feature Engineering explained in simple terms and how to use it ( with code). A quick thread 🧵👇🏻 #Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100...

Naina Chaturvedi

@NainaChaturved8

✅ Gradient Boosting and XGBoost explained in simple terms and how to use it ( with code). A quick thread 🧵👇🏻 #Python #DataScience #MachineLearning #DataScientist #Programming #C...

Naina Chaturvedi

@NainaChaturved8

✅LSTM and ARIMA model in Time Series Forecasting explained in simple terms and how to use it ( with code). A quick thread 🧵👇🏻 #Python #DataScience #MachineLearning #DataScientis...

Naina Chaturvedi

@NainaChaturved8