My Internship Journey with LetsGrowMore

2 min readSep 26, 2021

In this blog I will share my experience about my Data science virtual internship at LetsGrowMore and i was from September 2021 batch.I am really thankfull to Mr Aman Kesarwani for giving me this opportunity.

letsgrowmore.in and letsgrowmore.in/vip

About LetsGrowMore

LetsGrowMore is an organization which provides internship and many more opportunities such as LGM Summer of code, code heist and many more opportunities to students.It is an amazing platform to get your hands dirty with real world projects and get an idea how things are done in the industry.

My Experience

During My Data Science Internship, we were having 3 levels of tasks, out of which we needed to complete at least 2 tasks from any two levels which makes it 4 tasks in total for the Internship completion & certification from LetsGrowMore:-
1. Beginner Level
2. Intermediate Level
3. Advance Level

I have successfully completed my 4 tasks from beginner level and intermediate levels

Here is the list of tasks that i implemented:

1-Iris flower Classification

This is very simple beginner task for aspirants entering into data science world.In this problem i have to perform some basic machine learning models on flowers dataset which can be found from kaggle platform.The purpose of model is to accurately classify flowers based on features given in dataset.

Task 1 — Iris Flower Classification
IDE Jupyter Notebook
Github — https://git.io/JEF3k

2-Stock Market Prediciton and forecasting using stacked LSTM

In this task i have to perform some prediction on stock market dataset to predict stock prices based on previous values.So for this we are asked to complete this task using deep learning model i.e Long short term memory(LSTM).

Task 2-Stock Market Prediction and Forecasting using Stacked LSTM
IDE-Jupyter Notebook
Github link-https://git.io/JzsOI

3-Exploratory Data Analysis on Terrorism Dataset

In this task I have to perform exploratory data analysis on terrorism dataset means i have to first perform some data wrangling on dataset in order to eliminate unimportant features and after that using different Techniques i have to generate some predictions from dataset like where more terrorism occurs or which country is most affected.

Task 1(Intermediate Level) — Exploratory Data Analysis on Terrorism-DataSet
Language — Python
IDE — Jupyter Notebook
Github Link — https://git.io/JuhpH

4-Prediction using Decision tree Algorithm on Iris flower Dataset

In this problem i have to perform classification on iris flower dataset using decision tree classifier.

Task 2-Prediction using Decision tree Algorithm on Iris flower Dataset
IDE-Jupyter Notebook
Github link-https://git.io/JzstX

Hope it Helps!

Cheers..!

Special Thanks to Letsgrowmore community.