SharanSMenon

SharanSMenon

SharanSMenon

SharanSMenon

Taylor Series Calculation

This notebook demonstrates calculating taylor series for certain polynomials.

SharanSMenon

SharanSMenon

Filter List

This is a simple application in which you can type items and make a list that can be filtered. It is very simple and I made it like 4 years ago when I was learning Web Development.

SharanSMenon

SharanSMenon

PyTorch Time Series Prediction

This is my attempt to predict time series using PyTorch. It is not too good for I am still learning and I hope that this can be improved in the future.

Run the notebook in sequential order.

SharanSMenon

import pickle
from urllib.request import Request, urlopen
modelreq = Request("https://raw.githubusercontent.com/SharanSMenon/ml-models/master/sentiment_analysis/scikit-learn/sentiment_model.p") # Getting the model
vectorreq = Request("https://raw.githubusercontent.com/SharanSMenon/ml-models/master/sentiment_analysis/scikit-learn/vectorizer.p") # Getting the vectorizer
m = urlopen(modelreq)
v = urlopen(vectorreq)
model = pickle.load(m)
vectorizer = pickle.load(v)
def predict(s):
    transformed = vectorizer.transform([s]).toarray()

SharanSMenon

import math
import timeit # For performance testing
# Function on line below
f = lambda x: x**2 # Replace the function seen here with your function
def integrate_rectangular(N, a, b):
    """
    Integrates the function given the bounds b and a, by using Riemann Sums.
    """
    value = 0
    value2 = 0