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STAR-CLICKS REALITY

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 STAR CLICKS REALITY If you are a digital player means if you have a good audience, if you have a good network then star-clicks is best online income source. Here by just clicking on adds you can earn $0.01 It means by clicking on 100 adds you can earn $1. But for getting more adds you need to upgrade to gold membership which costs $30 and daily you can earn $1 by clicking on the adds so its not profitable by clicking only adds. If you have a good network then you can use the html code through which you can earn up to $5 daily which seems to be profitable. So monthly you can earn $150 and again you can buy membership for next month from this income only. Here you can see adds given through the html code by using this you can earn up to $5 daily. Click here to see sample adds Also you can earn through referal also. In this way you can earn money online using star-clicks platform. If you are interested then click below link for signup Referral Link Text 1: http://www.star-clicks.com/?r
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RECOGNIZING HANDWRITTEN DIGITS

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RECOGNIZING HANDWRITTEN DIGITS WITH  SCIKIT-LEARN Hypothesis to be tested : The Digits data set of scikit-learn library provides numerous data-sets that are useful for testing many problems of data analysis and prediction of the results. Some Scientist claims that it predicts the digit accurately 95% of the times. Libraries : scikit-learn , matplotlib INSTALL LIBRARIES We can analyse image as well as sound using data analysis too. Here in this project we are going to analyse the images. For any data analysis project we are using jupyter notebook as an editor same as here. Now by using pip install sklearn and matplotlib. from sklearn import datasets,svm svc = svm.SVC(gamma=0.001, C=100.) digits = datasets.load_digits() Now for getting information about the digits dataset use following command and read the description given: print(digits.DESCR) After hitting above command you will get the desciption as: .. _digits_dataset: Optical recognition of handwritten digits dataset --------------
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GLOBAL WARMINGS EFFECT ON TEMPERATURE AND HUMIDITY

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PERFORMING ANALYSIS OF METEOROLOGICAL DATA Hypothesis to be tested : The Influence of Global Warming on temperature and humidity. Libraries:Pandas, scikit-learn , matplotlib INSTALL LIBRARIES For any data analysis project we are using jupyter notebook as a editor. By using pip install numpy, pandas, matplotlib and seaborn. Now start with follwing code: import pandas as pd import numpy as np %matplotlib inline import matplotlib.pyplot as plt LOAD DATA For this project we are using a csv file which is available there on kaggle platform. Now import this csv file in the project. You can get this csv file on the link below: Dataset df = pd.read_csv('weatherHistory.csv') df.head() CHECKING SHAPE, DTYPE & NULL VALUES For analysing any dataset we first need to check dataset size,shape and is there any null values present, if yes then we have to clean it but here we are getting a clean dataset. df.shape df.dtypes df.isnull().sum() FORMATING DATE For our hypothesis we need to manage
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