I am doing a single label classification project for sorting images into classes. This is my first data science project and dont have any experience with scikit learn or tensorflow, which one do you think would be the best to use? Thanks!
Use the Keras APIs on Tensorflow. Start with MNIST example: keras.io/examples/vision/mnist_convnet/ and update the code to match your image classification project 🎉
Hi P. Vivek, ah yes! Trading algorithm. TensorFlow is needed for Trading Algorithm. Also PyTorch / LibTorch is a common choice. FemtoGPT can also do it too. You'd change your dataset.txt file to be historical trading data. Like a CSV spreadsheet of data (excluding csv header line) Then you'd train the model. Now it can predict the next value
@@PVivekmca Scikit yes, the SVM models in Scikit: scikit-learn.org/stable/api/sklearn.svm.html this will give you an okay-level amount of trading algorithm development.
thank you! 😊 happy to explain the differences. both scikit and tensorflow are great machine learning frameworks. Scikit great for spreadsheet sized data sets. Tensorflow is more advanced and is best for larger volumes of data.
I am doing a single label classification project for sorting images into classes. This is my first data science project and dont have any experience with scikit learn or tensorflow, which one do you think would be the best to use? Thanks!
Use the Keras APIs on Tensorflow. Start with MNIST example: keras.io/examples/vision/mnist_convnet/ and update the code to match your image classification project 🎉
you made my day bro, thanks for that !!! but do you suggest tensor flow for trading algorithm development?
Hi P. Vivek, ah yes! Trading algorithm. TensorFlow is needed for Trading Algorithm. Also PyTorch / LibTorch is a common choice. FemtoGPT can also do it too. You'd change your dataset.txt file to be historical trading data. Like a CSV spreadsheet of data (excluding csv header line) Then you'd train the model. Now it can predict the next value
@@StephenBlum can I use scikit learn for this useful case too???
Thanks for prompt reply
@@PVivekmca Scikit yes, the SVM models in Scikit: scikit-learn.org/stable/api/sklearn.svm.html this will give you an okay-level amount of trading algorithm development.
Very informative video : well explained and clear.
thank you! 😊 happy to explain the differences. both scikit and tensorflow are great machine learning frameworks. Scikit great for spreadsheet sized data sets. Tensorflow is more advanced and is best for larger volumes of data.