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Projects that you will get going..
Tendency Descent Implementation
Execute the standard Gradient Descent computation for headway of a model (Regression or Neural)
Vital Regression Implementation
Execute the standard Logistic Regression model usually used for orchestrating data into twofold classes like pass/misfire, win/lose, alive/dead or sound/crippled.
Decision Tree Implementation
Execute the standard Decision Tree Class used for describing data into various classes using a tree-like model of decisions and their expected outcomes.
Picture Caption Generation
Gather a CNN/LSTM based model to give a caption to the given picture.
Involved Driver Detection
Manufacture a plan model to anticipate using a data base of pictures whether a given driver is redirected, ie, informing, on a call, driving safely, etc
Text Generation
Collect a Neural Network based model to predict what the accompanying word will be in a gathering of words/sentences
Brain Machine Translation
Develop a general model with the ultimate objective of translation of articulations and pictures starting with one language then onto the next using Artificial Neural Network.
Metropolitan Sound Classification
Gather a Neural association based model to portray various sounds using their uncommon spectrogram into classes like Dog Barking, Sirens, Street Music, etc
Text Classification
Gather a classifier model using Naive Bayes estimation to expect the subject of an article present in a paper
Picture Classification (CIFAR-10 Dataset)
Integrate a classifier for describing 10,000 pictures into 10 classes (canine, pony, cat, etc) using the CIFAR-10 Dataset.
Twitter Sentiment Analysis
Separate the tweets introduced on twitter on expect the assessment of the tweet for instance certain, negative or fair-minded
Facial Emotion Recognition
Build a general model with the ability to expect the facial sensation of a person in an image.
Develop Facial Emotion Recognition, Distracted Driver Detection activities and astonish determination delegates to get extraordinary positions
