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GitHub / pankajrawat9075 / fantasy-sports-prediction
We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost
Stars: 19
Forks: 10
Open Issues: 1
License: None
Language: Python
Repo Size: 7.49 MB
Dependencies:
255
Created: almost 3 years ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Topics: dream11, fantasy-sports, final-year-project, machine-learning, python, random-forest, support-vector-machines, xgboost-algorithm
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Dependencies
requirements.txt
pypi
- Babel ==2.9.1
- Bottleneck ==1.2.1
- Click ==7.0
- Cython ==0.29.13
- Flask ==1.1.1
- HeapDict ==1.0.1
- Jinja2 ==2.10.3
- Keras ==2.3.1
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Mako ==1.1.0
- Markdown ==3.2.2
- MarkupSafe ==1.1.1
- Pillow ==6.2.0
- PySocks ==1.7.1
- PyWavelets ==1.0.3
- PyYAML ==5.1.2
- Pygments ==2.4.2
- QtAwesome ==0.6.0
- QtPy ==1.9.0
- SQLAlchemy ==1.3.9
- SecretStorage ==3.1.1
- Send2Trash ==1.5.0
- Sphinx ==2.2.0
- Theano ==1.0.4
- Werkzeug ==0.16.0
- XlsxWriter ==1.2.1
- absl-py ==0.9.0
- alabaster ==0.7.12
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- asn1crypto ==1.0.1
- astor ==0.7.1
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- atomicwrites ==1.3.0
- attrs ==19.2.0
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- backports.shutil-get-terminal-size ==1.0.0
- backports.tempfile ==1.0
- backports.weakref ==1.0.post1
- beautifulsoup4 ==4.8.0
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- isort ==4.3.21
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- numpy ==1.19.1
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- pandas ==0.25.1
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- torch ==1.5.1
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- unicodecsv ==0.14.1
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- wikipedia ==1.4.0
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- yellowbrick ==1.1
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