If your medium of education throughout your school and college was English, chances are you are already at a level of around IELTS 6 plus. IELTS is a test of how well you can use English to convey your ideas and understand when you hear them in English. It is a test of what you already know. People mistake preparing for IELTS with preparing for general exams and start from zero which is not the case .

I booked for IELTS Academic test on 1st October 2020 and received the exam slot for 25th October. Before that I hadn’t even…

Pandas is an open source library that is used to analyze data in Python. It takes in data, like a CSV or SQL database, and creates an object with rows and columns called a data frame. Pandas is typically imported with the alias pd as shown below

>>> import pandas as pd

Practice coding here.

Pandas DataFrame creation

The DataFrame is the most used object in Pandas. It is a 2-D, mutable, potentially heterogeneous, tabular data structure. It can be created by passing in a dictionary or a list of lists to the pd.DataFrame() method, or by reading data from a CSV file…

Supervised learning problems are generally of 2 types:

  1. Classification problems: Target is to classify the data or label the data accurately after learning from a training data set.
Example of a Classification problem Dataset. After learning the features of a particular class, the goal of ML algorithm is to predict the class of a given random case with features.

2. Regression Problems: Target is to predict a numerical value/changing value after learning from a training dataset.

Part 2 of Guide to statistics using Numpy series

Introduction:

When we first look at a dataset, we want to be able to quickly understand certain things about it:

  • Do some values occur more often than others?
  • What is the range of the dataset (i.e., the min and the max values)?
  • Are there a lot of outliers?

We can visualize this information using a chart called a histogram.

For instance, suppose that we have the following dataset:

d = [1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 5]

A simple histogram might show us how…

Summarizing key takeaways from my learnings of the famous Python scientific Library Numpy .

To run the codes as shown in this article, use this online Python compiler. This will help you understand and retain the concepts as you move along and also help you develop the habit of practicing coding .

Many companies hiring for Python positions specifically require knowledge of Numpy library.

NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, Fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an…

Putting here my first analysis on Tableau Desktop.

Data Source : https://catalog.data.gov/dataset/real-estate-across-the-united-states-rexus-inventory-building

Questions attempted to answer by this Viz:

  1. How is the situation of overall parking spaces by

a) Owned/leased,

b) Property type

c) Within each property type how is owned and leased,

d) Building status

e) Building State, city

2. Status of excess parking in the building category across states of the US.

3. Number of decommissioned buildings city, state wise.

4. For which property type is the parking space is in excess.

5. Where is more active parking in owned/leased categories.

6. Distribution of parking across cities based…

Md Khalid Siddiqui

Exploring hidden patterns with data

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