LetsGrowMore Virtual Internship Program
LGMVIP-Data Science Intern-March-22
Submitted by: NISHU KUMARI
Programming Language used : Python
IDE : Jupyter-Notebook
**Beginner Level**
TASK-1
Iris Flowers Classification ML Project
This particular ML project is usually referred to as the “Hello World” of Machine Learning. The iris flowers dataset contains numeric attributes, and it is perfect for beginners to learn about supervised ML algorithms, mainly how to load and handle data. Also, since this is a small dataset, it can easily fit in memory without requiring special transformations or scaling capabilities.
Dataset Link : http://archive.ics.uci.edu/ml/machine-learning-databases/iris
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task1-datascience-activity-6906664981719330816-cX03
TASK-2
Stock Market Prediction And Forecasting Using Stacked LSTM
Dataset Link : https://raw.githubusercontent.com/mwitiderrick/stockprice/master/NSE-TATAGLOBAL.csv
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task2-datascience-activity-6906958773898899456-C86j
TASK-3
Image to Pencil Sketch with Python
We need to read the image in RBG format and then convert it to a grayscale image. This will turn an image into a classic black and white photo. Then the next thing to do is invert the grayscale image also called negative image, this will be our inverted grayscale image. Inversion can be used to enhance details. Then we can finally create the pencil sketch by mixing the grayscale image with the inverted blurry image. This can be done by dividing the grayscale image by the inverted blurry image. Since images are just arrays, we can easily do this programmatically using the divide function from the cv2 library in Python.
For this task i used two images, one is of a BIRD and other is of a GIRL!!
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task3-datascience-activity-6908020740172464128-Vdru
TASK-4
Music Recommendation
Music recommender systems can suggest songs to users based on their listening patterns.
Dataset Link : https://www.kaggle.com/c/kkbox-music-recommendation-challenge/data
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task4-datascience-activity-6909856008353841152-dsDV?utm_source=linkedin_share&utm_medium=member_desktop_web
**Intermediate Level**
TASK-5
Exploratory Data Analysis on Dataset - Terrorism
As a security/defense analyst, try to find out the hot zone of terrorism.
Dataset Link : https://bit.ly/2TK5Xn5
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task5-datascience-activity-6910209943157555200-EOGw?utm_source=linkedin_share&utm_medium=member_desktop_web
TASK-6
Prediction using Decision Tree Algorithm
Creating the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
Dataset Link : https://bit.ly/3kXTdox
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task6-datascience-activity-6910987301925912576-RfMX?utm_source=linkedin_share&utm_medium=member_desktop_web
**Advanced Level**
TASK-7
Develop A Neural Network That Can Read Handwriting
Begin my neural network machine learning project with the MNIST Handwritten Digit Classification Challenge and using Tensorflow and CNN. It has a very user-friendly interface that’s ideal for beginners.
Dataset Link : https://en.wikipedia.org/wiki/MNIST_database
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task7-datascience-activity-6911687403774627841-Y7W4?utm_source=linkedin_share&utm_medium=member_desktop_web
TASK-8
Next Word Prediction
Using Tensorflow and Keras library train a RNN, to predict the next word.
Dataset Link : https://drive.google.com/file/d/1GeUzNVqiixXHnTl8oNiQ2W3CynX_lsu2/view
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task8-datascience-activity-6912775340230668288-no-g?utm_source=linkedin_share&utm_medium=member_desktop_web
TASK-9
Handwritten equation solver using CNN
Mathematical equation solver using character and symbol recognition using image processing and CNN.
Dataset Link : https://www.kaggle.com/xainano/handwrittenmathsymbols
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task9-datascience-activity-6913722869499797504-R6uK?utm_source=linkedin_share&utm_medium=member_desktop_web
**More Advanced Level**
TASK-10
ML Facial recognition to detect mood and suggest songs accordingly
Dataset Link : https://www.kaggle.com/msambare/fer2013
Linkedin post link : https://www.linkedin.com/posts/nishu-kumari-916507194_connections-task10-datascience-activity-6913730442844127232-_E7m?utm_source=linkedin_share&utm_medium=member_desktop_web
**Copyright (c) 2022 Nishu Kumari**
If you have any Queries or suggestions, feel free to reach out to me.😌🙂