Pinned Repositories
100_Days_of_Code_Challenge
This repository contains the whole code base from my beginner to advanced #100DaysofCodeChallenge.
100DaysofCodeDataScienceParts
365-Data-Science-Student-Engagement-Analysis
Analysis and modelling of student engagement on the 365 data science platform
911-Calls-Analysis-and-Vizualization
In this notebook, I go through the 911 calls dataset available on kaggle and perform basic analysis and vizualizations to answer questions like; When are most calls made? What are the reasons stated for most calls? What days are most of the calls made? What areas have most calls come from?
Customer-Analytics
Analysis and Clustering of Customers using K_Means Clustering and Principal Component Analysisas well as Predicting Customer Conversion Using Deep Learning in Tensorflow
data-elt-with-dbt
ELT with DBT and AWS Redshift
Image-Classification
In this repository, I Model the MNIST Dataset to Classify Hand-written digits using Convolutional Neural Networks with TF2
Predicting-Cancerous-Tumours-and-Classifying-The-Iris-Flowers-Dataset
In this repository, one notebook goes through classifying a tumour as either being malignant or benign based off a number of features. In the second notebook, I attempt to get the right class of an Iris flower based on its features such as petal length, petal width, sepal length and sepal width. The Models used are Support Vector machines since these are more appropriate for these kinds of analysis.
Predicting-Lendee-Loan-Repayment-Using-Decision-Trees-and-Random-Forests-
In this repository, I will administer decision trees and random forests to classify lenders repaying their loans. The dataset used is publicly available on kaggle.
Predicting-Passenger-Surivival-on-the-Titanic-and-Student-Uni-Admittance
In this project, I use Logistic Regression to Predict if a passenger aboard the Titanic Survived. In the Second notebook, I use Logistic regression to predict the odds of a student getting admitted to Uni given their SAT Score and their Gender
ernestasena's Repositories
ernestasena/100_Days_of_Code_Challenge
This repository contains the whole code base from my beginner to advanced #100DaysofCodeChallenge.
ernestasena/100DaysofCodeDataScienceParts
ernestasena/365-Data-Science-Student-Engagement-Analysis
Analysis and modelling of student engagement on the 365 data science platform
ernestasena/911-Calls-Analysis-and-Vizualization
In this notebook, I go through the 911 calls dataset available on kaggle and perform basic analysis and vizualizations to answer questions like; When are most calls made? What are the reasons stated for most calls? What days are most of the calls made? What areas have most calls come from?
ernestasena/Customer-Analytics
Analysis and Clustering of Customers using K_Means Clustering and Principal Component Analysisas well as Predicting Customer Conversion Using Deep Learning in Tensorflow
ernestasena/data-elt-with-dbt
ELT with DBT and AWS Redshift
ernestasena/Image-Classification
In this repository, I Model the MNIST Dataset to Classify Hand-written digits using Convolutional Neural Networks with TF2
ernestasena/Predicting-Cancerous-Tumours-and-Classifying-The-Iris-Flowers-Dataset
In this repository, one notebook goes through classifying a tumour as either being malignant or benign based off a number of features. In the second notebook, I attempt to get the right class of an Iris flower based on its features such as petal length, petal width, sepal length and sepal width. The Models used are Support Vector machines since these are more appropriate for these kinds of analysis.
ernestasena/Predicting-Lendee-Loan-Repayment-Using-Decision-Trees-and-Random-Forests-
In this repository, I will administer decision trees and random forests to classify lenders repaying their loans. The dataset used is publicly available on kaggle.
ernestasena/Predicting-Passenger-Surivival-on-the-Titanic-and-Student-Uni-Admittance
In this project, I use Logistic Regression to Predict if a passenger aboard the Titanic Survived. In the Second notebook, I use Logistic regression to predict the odds of a student getting admitted to Uni given their SAT Score and their Gender
ernestasena/Assignment
Sample Crud App
ernestasena/Classifying-Customers-Using-k-nearest-neighbors-KNN-
In this repository, I will use k-nearest neighbors (KNN) algorithm to classify customers based off the features in the dataset. I will try first with K=1 and then find the optimal number of K to do the classification better.
ernestasena/docker-data-science
Set up an automated data science environment using Docker
ernestasena/docker-jupyter-lab
Dockerised jupyter lab
ernestasena/draw.io
ernestasena/MovieRecommender
In this project, I create a simple movie recommendation system.
ernestasena/Predicting-Car-Prices
In this project I will be writing a model to predict the price of used cars using features as Engine Volume, Brand, Year of Manufacture, Engine Type and Body Type
ernestasena/Predicting-Player-Salaries
Ridge and Lasso Regression Models to Predict Player Salaries based off a number of features.
ernestasena/Regular-Expressions-Python
A look into how to use regular expressions for pattern matching in Python.
ernestasena/test
test