Posts listed under tag: tensorflow
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Surface Temperature Exploration and Forecast
In this notebook we look at changes in surface temperature of areas around the world from 1961-2020 using a dataset from the Food and Agriculture Organization of the United Nations. The changes in temperature are with reference to a baseline climatology found within the reference period of 1951-1980. Thereafter, we will attempt to forecast temperature changes using two popular techniques. -
Rainfall in Singapore
In this notebook we will be exploring rainfall patterns in Singapore, showing the seasonal patterns of rainfall and how some areas of the island receive more rainfall than others. Models will also be built and tested to forecast monthly rainfall on the island. -
Novelty Detection with an Autoencoder
In this notebook we will be using an autoencoder on the fraud dataset used in a previous notebook for novelty detection. Novelty detection refers to the identification of new or unknown signals not available to a machine learning system during training. In this case it refers to training a machine learning model only on normal(non-fradulent) transactions data but the resultant model has the ability to recognise fraudulent transactions. -
Image Classification with Convolutional Neural Network (CNN)
In this notebook we train classification models to identify the activities and subjects from a smartphone sensor dataset. -
Handwriting Recognition
In this notebook we build and deploy a flask web application to detect and recognise handwritten words from an image.
1 numpy pandas matplotlib seaborn scikit-learn classification statistics nlp fun scipy dimensionality_reduction webscrape tensorflow computer_vision requests html bs4 transfer_learning regression pytorch nltk multiprocessing kaggle generative_ai featured competition transformers statsmodels statsmodel sql recommendation ollama object_detection langchain forecast flask embedding database cv2 automation api tkinter statistics math gradio