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dattadebrup / NLP.ipynb
Created August 26, 2018 18:17
This notebook contains the implementation of a simple Natural Language processing model using NLTK library. This model predicts whether a particular customer liked or disliked a product based on his/her review.
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dattadebrup / ML_regression.ipynb
Created August 26, 2018 17:34
This notebook contains the implementation of various Regression Algorithms using Scikit-learn Library.
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dattadebrup / ann.ipynb
Last active August 26, 2018 17:31
This notebook contains the implementation of a simple Artificial Neural Network using Keras library.
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dattadebrup / ML_classification.ipynb
Last active August 26, 2018 18:26
This notebook contains the implementation of various Classification Algorithms using Scikit-learn Library.
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import sys
from PyQt5.QtWidgets import QApplication, QWidget, QLabel,QMainWindow
from PyQt5.QtGui import QIcon, QPixmap,QPainter, QColor, QPen,QMouseEvent
from PyQt5.Qt import Qt
from PyQt5 import QtCore
import numpy as np
from math import sin,cos,radians,sqrt,degrees,atan,acos
import warnings
warnings.filterwarnings("error")
class App(QWidget):
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dattadebrup / ball following bot.ipynb
Last active March 3, 2018 14:57
This notebook contains the code and explanation of Ball Following Bot project.This notebook shows how a Raspberry Pi is interfaced with PC for live-streaming of video from Pi to PC for further processing of the video by OpenCV to detect the ball. Use this link (https://nbviewer.jupyter.org/gist/dattadebrup/0df22ffbe174dd313bed05bb287ca6c4) for f…
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