LGMVIP-DataScience

Data Science Internship at Let's Grow More October 2021

Introduction:

Task List:

Beginner Level:

1.Iris Flowers Classification ML Project
2.Stock Market Prediction And Forecasting Using Stacked LSTM
3.Music Recommendation
4.Image to Pencil Sketch with Python

Intermediate Level:

1.Exploratory Data Analysis on Dataset - Terrorism
2.Prediction using Decision Tree Algorithm

Advanced Level:

1.Develop A Neural Network That Can Read Handwriting
2.Next Word Prediction
3.Handwritten equation solver using CNN

Task 1:

Iris Flowers Classification ML Project

This is perhaps the best-known example in the field of machine learning.The aim is to classify iris flowers among three species (Setosa, Versicolor, or Virginica) from sepals' and petals' length and width measurements. The iris data set contains fifty instances of each of the three species. The central goal here is to design a model that makes useful classifications for new flowers. The link to project in available click here.

Task 2:

Image to Pencil Sketch with Python

We need to read the image in RBG format and then convert it to a pencil sketch image through process of grayscaling, inverting, blurring and using the divide function to get the final image. We require cv2 library in python to perform various functions on the image.The link to project in available click here.

Task 3:

Exploratory Data Analysis on Dataset - Terrorism

According to a survey, about 218 million people are affected by calamities, natural and man-made, per annum and about 68000 people loose their lives every year. The frequency of natural disasters have remained broadly constant, but the number of terrorist activities have grown over the period. The aim of this task is to explore the terrorist events around the world. Plots and Graphs are used in this task, for making the exploration easy and more informative. The link to project in available click here.

Task 4:

Prediction using Decision Tree Algorithm

Create the Decision Tree classifier and visualize it graphically. The purpose of creating this model is that if we feed any new data to this classifier, it would be able to predict the right class accordingly. The link to project in available click here.

Outcome:

Thank You!