Download 50,000 tweets with labels
25,000 tweets with#
25,000 tweets with #
Preprocess and clean the data
Apply the classification algorithms (logistic regression, KNN, SVM, Decision Tress)
Use 10 fold cross validation
Show implementation of all models along with confusion matrix, accuracy, precision, recall, F-measure and ROC plots
Choose the best model that can classify the downloaded tweets with labels in the best way.
Also, do the LSA and clustering on the labelled tweets.
we will provide some of the code. it is attached.
Hi, I just got my Masters in Computer Science with a specialization in Machine Learning. I'm new to freelancer.com and am looking to build my profile, therefore will work on this project for less. I have previously worked on a couple of projects applying ML on tweets and have figured out nearly all the pieces for this project. Let me know, thanks.
$60 USD 3 napon belül
5,0 (2 értékelés)
2,2
2,2
11 szabadúszó adott átlagosan $324 USD összegű árajánlatot erre a munkára
Hi,
I am a PhD student in computer science focusing in machine learning. I have extensive experience with classification models and several years of experience in industry.
Let me know if you'd like to discuss further.
Best
Hi, I am proficient in Python and Machine Learning. I would like an opportunity to work with you on this project. Please feel free to ping me on chat. My bid is an estimate and may change based on scope of work. Thanks!
Preprocess data
Apply various ML algorithms with tuning of algorithms
Determine accuracy of each ML algorithm to determine most accurate algorithm
Provide source code when completed