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Recognizing Handwritten Digits with scikit-learn

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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. Perform data Analysis to accept or reject this Hypothesis. I took the handwritten letter dataset from  Digit Recognizer | Kaggle  .    Each image is 28 pixels in height and 28 pixels in width, for a total of 784 pixels in total. Each pixel has a single pixel-value associated with it, indicating the lightness or darkness of that pixel, with higher numbers meaning darker. This pixel-value is an integer between 0 and 255, inclusive. The training data set, (train.csv), has 785 columns. The first column, called "label", is the digit that was drawn by the user. The rest of the columns contain the pixel-values of the associated image. command :- data.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: ...
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Performing Analysis of Meteorological Data

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The process of data analysis actually begins long before the collection of raw data. For the analysis purpose I extracted data from  https://www.kaggle.com/muthuj7/weather-dataset   . The dataset has hourly temperature recorded for last 10 years starting from 2006-04-01 00:00:00.000 +0200 to 2016-09-09 23:00:00.000 +0200. It corresponds to Finland, a country in the Northern Europe. The data set contains 12 features which can be explored. The goal of this data analysis is to transform the raw data into information and then convert it into knowledge. For this I made use of Available python libraries  Pandas, scikit-learn , matplotlib. Finally I want to put-forth my conclusion below The total number of rows and columns are (96453, 12). where 12 features of weather is observed over 96,453 days. Features 1. Formatted date 2. Summary 3.Precipitation Type 4.Temperature (C) 5.Apparent Temperature (C) [ apparent temperature tells you how warm or cool your body thinks ...
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Rise of AMD against monopoly

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Intel has been biggest name in processor production for many years.But recently they started to lose the race to their rival AMD. History of Battle Lets go over history of batt le between Intel and AMD over pc market. For many years AMD CPUs were considered inferior compared to Intel. So  they Started investing time and resources to catch up while building their own tech into their cpu. In 2003 AMD Released their heavy hitter Athlon 64 bit cpu which were  for the first time superior to what Intel had to offer. Now with AMD started to put focus on gaming , Intel rushed to catch up the 64 bit cpu,which was they neglected over years.By 2006 Intel released Core 2 duo processors that destroyed the main stream processors of AMD. And shortly after AMD produced Athlon X2 Dual core processors. Then shortly Both jumped into quad core and beyond. And While this was Happening, PC gaming started getting really popular all over.Then people started to decide whether to choose mainstream Inte...
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Is powerpc a failure

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Few years back… Wait!!!! I do know very little about happenings in ISA and rivals during 1980–2009. But after that Intel is very good at speeding up its devices by leveraging its manufacturing technology comparing side by side  PowerPc  processors were always about equal to x86 processors. More expensive than  ARM  and  MISP  Processors..which one would you choose. Present situation… IBM  has released the Power Architecture instruction set to the  Linux  Foundation, making it freely available to anyone who wants it. It’s a no-cost, royalty-free license to the ISA much like the one for RISC-V(which was also maintained by Linux Foundation) and other open-source processors. Starting now, you can design your own PowerPC processor without first paying a hefty license fee.. Hey, good news and bad news welcomed us. GOOD NEWS   free processor! What’s not to like about that? You get an official IBM-designed CPU with a huge upside growth path...
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