-amazon-echo-reviews-classification-random-forest-

- Dataset consists of 3000 Amazon customer reviews, star ratings, date of review, variant and feedback of various amazon Alexa products like Alexa Echo, Echo dots. - The objective is to discover insights into consumer reviews and perfrom sentiment analysis on the data. - Dataset: www.kaggle.com/sid321axn/amazon-alexa-reviews

-pima-indians-diabetes-database-ml-cufflinks-

The datasets consist of several medical predictor (independent) variables and one target (dependent) variable, Outcome. Independent variables include the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

-predict-customer-clicks-on-fb-ads

Facebook ads prediction

age-gender-classifier

age-gender-emotion-detector

ai-platform

AI platform which aims to automate AI R&D tasks

amazon-fine-food-reviews-analysis

amazon-musical-instruments-reviews

aniruddhachoudhury

awesome-public-datasets

A topic-centric list of HQ open datasets.

bank-customers-retirement-predictions-using-support-vector-machines

You work as a data scientist at a major bank in NYC and you have been tasked to develop a model that can predict whether a customer is able to retire or not based on his/her features. Features are his/her age and net 401K savings (retirement savings in the U.S.). You though that Support Vector Machines can be a great candidate to solve the problem.

bbc-news-classification

Consists of 2225 documents from the BBC news website corresponding to stories in five topical areas from 2004-2005. Natural Classes: 5 (business, entertainment, politics, sport, tech) If you make use of the dataset, please consider citing the publication: - D. Greene and P. Cunningham. "Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering", Proc. ICML 2006. All rights, including copyright, in the content of the original articles are owned by the BBC. Contact Derek Greene <[email protected]> for further information. http://mlg.ucd.ie/datasets/bbc.html

best-cifar10-accuracy-2019

I have made a cifar 10 model using cnn layers to get the best accuracy.

code-to-classify-kyphosis-disease-using-decision-trees-and-random-forest-classifier

- Kyphosis is an abnormally excessive convex curvature of the spine. The kyphosis data frame has 81 rows and 4 columns. representing data on children who have had corrective spinal surgery. Dataset contains 3 inputs and 1 output

cotton-plant-diesease-detector

The dataset is organized into three folders (train, val and test) and contains subfolders for each image category . There are 2293 plant with and without diesease images (JPEG) and 4 categories.

data-science

PANDAS, NUMPY , MATPLOT ,SCIPY and Stats

data-science--cheat-sheet

Cheat Sheets

diabetics-prediction-data-visualisation-plotly-cufflinks

Data Visualisation - Plotly and Cufflinks

diabetics-prediction-kaggle

dimentionality-reductions-pca-mathematically

Mathematically Using PCA technique for MNIST dataset

disaster-fake-tweets

Predict which Tweets are about real disasters and which ones are not

emotion-detector-littlevgg

Detects emotion from images and webcame using littlevgg

fact_checker_india

Check facts with deep learning India

fake_news_detection_lstm

Detecting Fake news with 98% Accuracy

fake_news_detector

flower-classifier-using-vgg19-90-accuracy-

harshit9665

Harshit Singh Portfolio

image-sentiment-analyser

https://www.kaggle.com/kazanova/sentiment140

indian-states-analysis

Data Science

iris-plant-classification-knn-

The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. The attribute to be predicted is the class of iris plant. The classes are as follows: 1. Iris Setosa, 2. Iris Versicolour, 3. Iris Virginica There are 4 features: 1. sepalLength: sepal length in cm 2. sepalWidth: sepal width in cm 3. petalLength: petal length in cm 4. petalWidth: petal width in cm There are 3 classes represneting class label of iris flower {1,2,3} 1. Iris Setosa 2. Iris Versicolour 3. Iris Virginica