Data Science Resources (All in one)
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Building and Deploying Deep Learning Applications with TensorFlow
Using data to train the neural network that will predict how much revenue we can expect in future based on historical data.
Using TensorFlow to build and deploy a supervised machine learning model
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Machine Learning with TensorFlow
By following the Sun we can predict the performance of Stock markets that close later on in the day based on what happpend in markets earlier in the day!
Machine Learning with Fianacial Time Series Classification using TensorFlow
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Feature selection in high dimensional data
from sklearn.feature_selection import f_regression import numpy as np from sklearn import svm from sklearn import linear_model import svmcrossvalidate from array import array Main #f = open(“testdata1.txt”) f = open(“testdata.txt”) mylist = f.readlines() testdata = [] for i in range(0, len(mylist), 1): l = mylist[i].split() for j in range(0, len(l), 1):...
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Categorizing News Articles with Natural Language Processing
Introduction In this post, I’ll summarize the exploratory data analyses I performed, explain the feature engineering and reduction steps I utilized, and present my final models to classify news articles. Proposition The goal of this project was to classify news articles into business/technology, entertainment, opinion, politics, science/health, sports, or world...
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