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dscpesu
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SimpleML
🚀 SimpleML: Dive into the exciting world of machine learning with our open-source repository, offering a diverse array of projects suitable for beginners and experts alike.
https://gdscpesu.com/
MIT License
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add : phishing-domain-detection
#41
Atharva-Malode
opened
9 months ago
0
added vis
#40
syed-hamza
closed
9 months ago
0
Added WineQualityPredictions
#39
Anupamaraie
closed
6 months ago
0
added ModelsComparison.md
#38
Lekhya25
closed
9 months ago
0
Added Heatmap.png
#37
Lekhya25
closed
9 months ago
0
Bank Loan Approval Prediction: Add a file providing justification for the performance of the various models
#36
Lekhya25
closed
9 months ago
0
[UPDATE]Heatmap.png
#35
Lekhya25
closed
9 months ago
0
Added ClassificationModels.ipynb
#34
Lekhya25
closed
9 months ago
0
Bank Approval Prediction: Comparative Study across various machine learning models.
#33
Lekhya25
closed
9 months ago
0
Student Academic Performance Analysis
#32
saqlain2204
closed
9 months ago
0
interactive python trainer code + plots
#31
syed-hamza
closed
9 months ago
0
This is a basic implementation of QA model using BERT.
#30
amulyamarali
closed
9 months ago
0
American Sign Language Issue #14
#29
Bhav-Hub
closed
9 months ago
0
Added yolo model to detect Urdu text
#28
ank426
closed
9 months ago
0
Bert
#27
amulyamarali
closed
9 months ago
1
[PROJECT PROPOSAL]: Students Academic Performance Analysis
#26
saqlain2204
closed
9 months ago
1
Cleaned Amazon Reviews dataset for NLP tasks
#25
saqlain2204
closed
9 months ago
0
Adding RandomForest model for Sentiment analysis
#24
kganeshv12
closed
9 months ago
0
PR : Dry Beans Classification
#23
prathimacode-hub
closed
9 months ago
0
EDA and correlation analysis
#22
aaryanhb
closed
9 months ago
0
[PROJECT PROPOSAL] : Dry Beans Classification
#21
prathimacode-hub
closed
9 months ago
0
added an src folder, Aug and instructions
#20
syed-hamza
closed
9 months ago
0
Update README.md
#19
asphytheghoul
closed
9 months ago
0
Yahoo Answers: Train a BERT Sequence Model for predicting the "best_answer" target variable. Suggest any evaluation metrics that could be used for this task with your reasoning.
#18
asphytheghoul
closed
9 months ago
2
Yahoo Answers : Process the data, train and evaluate a RandomForestClassifier and various other Machine Learning Algorithms on the dataset. Provide a summary of the performance
#17
asphytheghoul
closed
9 months ago
1
Yahoo Answers : Perform Exploratory Data Analysis and explain your understanding of the problem at hand. Provide a plot which shows the class distribution in the dataset and suggest any precautionary measure that can be taken to explain your model's performance
#16
asphytheghoul
closed
9 months ago
1
American Sign Language : Perform a comparison study between various classification deep learning and machine learning models. Provide a tabular result with the performance metrics as well as performance plots for the various models chosen.
#15
asphytheghoul
closed
9 months ago
1
American Sign Language: Train and evaluate a classification model for the data. Provide performance plots of your model and explain your inductive bias.
#14
asphytheghoul
closed
9 months ago
2
American Sign Language: Plot a graph to visualize the class distribution and analyze if there is class imbalance in the data. Handle the imbalance and mention your approach for the same.
#13
asphytheghoul
closed
9 months ago
1
Urdu Artificial Text Detection: Train and evaluate a CNN to detect presence of Urdu Text on the screen. Briefly mention if the CNN is a valid family of models to use for this task with your reasoning.
#12
asphytheghoul
closed
9 months ago
1
Urdu Artificial Text Detection: Train and evaluate an image segmentation model (U-NETs) using from PyTorch or tensorflow or using the YOLO family of models.
#11
asphytheghoul
opened
9 months ago
1
Urdu Artifical Text Recognition: use OpenCV to create a bounding box predictor for urdu words and evaluate the performance.
#10
asphytheghoul
opened
9 months ago
2
Amazon Reviews Sentiment Analysis: Train and evaluate a RandomForestClassifier with the 'score-poz-neg' column as the target attribute.
#9
asphytheghoul
closed
9 months ago
1
Amazon Reviews Sentiment Analysis: Clean and prepare the dataset by following practices such as removing stop-words, non alphanumeric characters etc.
#8
asphytheghoul
closed
9 months ago
1
Bank Approval Prediction: Evaluate and perform a comparitive study across various machine learning models. Suggest why certain algorithms might be doing better than the others.
#7
asphytheghoul
closed
9 months ago
1
Bank Approval Prediction : Perform EDA to understand the class distribution and correlation between various attributes. (Multiple Correlation techniques might be required)
#6
asphytheghoul
closed
9 months ago
1
Test
#5
asphytheghoul
closed
9 months ago
0
Added Project Files
#4
asphytheghoul
closed
9 months ago
0
Add Project Files
#3
asphytheghoul
closed
9 months ago
0
Changed README
#2
asphytheghoul
closed
9 months ago
0
Minor changes to README
#1
asphytheghoul
closed
9 months ago
0