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Segun sodimu

Developer

Topics of interest

AI

Ogun State

Huntrech Systems

Bio

I am a highly dedicated software engineer with over 8+ years of experience in Machine learning + Big Data, software engineering & Blockchain. I have hands-on experience in Building Machine Learning Models using supervised & unsupervised Machine learning algorithm such as Support vector machine, Naive Bayes, KNN, K-Means, DBSCAN e.t.c for classification, regression & clustering problems. Deep learning algorithm such as CNN, LSTM with frameworks like Tensorflow and Keras. Experience in Big data applications such as Spark, SparkSQL, SparkML Lib, Elastic Search, Kibana, Logstash, Kafka, Spark Streaming. Deep knowledge of relational database management systems such as MySQL, MSSQL, Postgres and NoSQL databases such as MongoDB, Redis and Google LevelDB.

Repository Links

  • https://github.com/princesegzy01/ConvNet-Flower-Classification
  • https://github.com/princesegzy01/bitLsh-TrendingTopic
  • https://github.com/princesegzy01/News-Categorization
  • https://github.com/princesegzy01/incremental-machine-learning-techniques-
  • https://github.com/princesegzy01/lstm-google-stock-price-prediction

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Following

  • Followers 2
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  • Projects 5
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  • Statuses 6

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Projects

5 Results

Stock price prediction is a model built to predict stock prices from a given time series datasets...Stock Price Prediction using LSTM
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Stock Price Prediction using LSTM

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Created: 12/06/2019

Online learnning is a medthod of machine learning where data becomes available in sequential orde...Hybridizing Feature Techniques using Incremental Machine Learning
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Hybridizing Feature Techniques using Incremental Machine Learning

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Created: 12/06/2019

SGD has been successfully applied to large-scale and sparse machine learning problems often encou...Support Vector Machines Training With Stochastic Gradient Descent for Multiclass News Categorization
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Support Vector Machines Training With Stochastic Gradient Descent for Multiclass News Categorization

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Created: 12/05/2019

Locality-sensitive hashing (LSH) is an algorithmic technique that hashes similar input such as tw...Event Detection Using Bit Locality Sensitive Hashing & DBSCAN clustering on Twitter Data
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Event Detection Using Bit Locality Sensitive Hashing & DBSCAN clustering on Twitter Data

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Created: 11/29/2019

This project is developed for botanist and enthusiast who are keen on learning more about plants....Flask Based Convolutional Neural Network for Inverted Flower Classification
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Flask Based Convolutional Neural Network for Inverted Flower Classification

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Created: 11/29/2019

5 Results

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