Ikwu Idoko Francis (cisco00)

cisco00

Geek Repo

Company:Semicolon Africa

Location:Lagos, Nigeria

Twitter:@ikwufrancis

Github PK Tool:Github PK Tool

Ikwu Idoko Francis's repositories

Black-Politician-and-bicyclist-counts-

This analyse the numbers of bicyclist crossing Brooklyn bridge everyday and also It determine whether the effect of the email being from "out-of-district" (someone who can't vote for you and so provides no extrinsic motivation to reply) would have a smaller effect on response rates for Black legislators than for non-Black ones, providing evidence of additional intrinsic motivation on the part of Black legislators to help Black people.

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

Admission-Prediction-Model

The model predict the possibility of getting admitted into a university of high rating giving your scores in TOEFL and GRE

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Bank-loan

Model to convert deposit customer to personal loan customer

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Digit_recognition_model

A model to predict a hand written digits

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

heart_classification_model

The model is build to classify if a patient will have heart disease or not given some variables. The model has 85 percent accuracy of predicting correctly if a patient will likely have a heart disease or not with a linearRegression model

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

image-classification-with-pytorch

Image classification using VGG16 transfer learning model

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Stockclosingpriceprediction

a model to predict the closing price of stocks using the NYSE stock for experimentation

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Chat_bot

It is a retrieval-based chatbot that uses predefined input patterns and responses. It then uses some type of heuristic approach to select the appropriate response.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

data-vis-python-dash-3009706

Data Visualization in Python with Dash

License:NOASSERTIONStargazers:0Issues:0Issues:0

example-portfolio

Example data science portfolio

Stargazers:0Issues:0Issues:0

Flink-SalesAnalysis

Building a batch Data analysis pipeline with Apache Flink using Sales dataset for an e-commerce company

Stargazers:0Issues:0Issues:0

francisikwu.github.io

Experienced data enthusiast skilled in data manipulation, acquisition, cleansing, structuring, and architecting data pipelines accessible to both technical and non-technical teams. Possesses advanced expertise in analytical techniques like algebra and statistics. Known for exceptional organization, determination, and attention to detail. Proficient

Stargazers:0Issues:0Issues:0

GenderClassification

This model seems to use fingerprint to classify gender to either male or female

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

HourElectricityOutput

he dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant. A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is colected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance. For comparability with our baseline studies, and to allow 5x2 fold statistical tests be carried out, we provide the data shuffled five times. For each shuffling 2-fold CV is carried out and the resulting 10 measurements are used for statistical testing. We provide the data both in .ods and in .xlsx formats. The model used for this project are LinearRegression and Ridge Regression.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Image-Identification-for-Self-Driving-Cars

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

License:GPL-3.0Stargazers:0Issues:0Issues:0

intro-to-terraform

Sample code for the blog post series "A Comprehensive Guide to Terraform."

License:NOASSERTIONStargazers:0Issues:0Issues:0

Plant-Disease-Detection-Keras

Plant Disease Detection model built with Keras and FastAPI

License:MITStargazers:0Issues:0Issues:0

productionalizing-data-pipelines-airflow

Productionalizing Data Pipelines with Apache Airflow

License:MITStargazers:0Issues:0Issues:0

Quantifying-monetary-savings-through-preventative-work

Analysis into cost saving for care service

Language:PythonStargazers:0Issues:0Issues:0

robot

Functions and classes for gradient-based robot motion planning, written in Ivy.

License:Apache-2.0Stargazers:0Issues:0Issues:0

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

Stargazers:0Issues:0Issues:0

student-performance-criteria

Statistical analysis for performance of student and the effect on their promotional exams

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Todo-List

An App that get different recipes of fruits and the ingredient used for it for preparing it.

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Udacity_Data-Analyst

Analysing, Tweet dataset

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

United_State-Avocado-Analysis

An analysis into the avocado prices in the united state

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

words_predictions

A model that can be used to auto complete your statements using previous statement. The DNN model used for this project is the Word2Vec model.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0