Recently, there was a huge crash in the crypto stock market. Prices of almost all the cryptocurrencies went way down just because of a tweet from Elon Musk. Elon told the world that Tesla will stop accepting Bitcoin for car purchases mainly due to environmental concerns. It was at this point that the world of crypto went into a frenzy. Here is the full tweet from the Tesla and SpaceX founder:


As human beings speech is amongst the most natural way to express ourselves. We depend so much on it that we recognize its importance when resorting to other communication forms like emails and text messages where we often use emojis to express the emotions associated with the messages. As emotions play a vital role in communication, the detection and analysis of the same is of vital importance in today’s digital world of remote communication. Emotion detection is a challenging task, because emotions are subjective. There is no common consensus on how to measure or categorize them.

Speech Emotion Recognition, abbreviated…


Housing prices are an important reflection of the economy, and housing price ranges are of great interest for both buyers and sellers. In this project, house prices will be predicted given explanatory variables that cover many aspects of residential houses. The goal of this project is to create a regression model that are able to accurately estimate the price of the house given the features.

Acquiring data

The data for this project is available on kaggle. The main objective is to predict the price of a given house based upon the previous available data. The dataset is available here: https://www.kaggle.com/harlfoxem/housesalesprediction

Checking out the data


Exploratory data analysis using various python libraries.

With over 5.3 million cases, India is amongst the worst countries hit by the corona virus. The death toll in india has exceeded over 85,000.

As a data science enthusiast, i decided to explore the various factors because of which corona virus is spreading throughout the country. With the help of this dataset https://www.kaggle.com/sudalairajkumar/covid19-in-india I was able to make some predictions regarding these factors.

Importing the libraries

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import cufflinks as cf
cf.go_offline()
%matplotlib inline
import plotly_express as px
import plotly.graph_objects as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
import…

Umair Ayub

Undergrad interested in Data Science, Machine Learning and Blockchain technology.

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