Description

TDs d'enseignement dispensés aux élèves de l'école d'ingénieurs ESILV - Paris La Défense, en initation pour la data analyse avec Python.

Terms & Conditions

©Luc Bertin

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE X CONSORTIUM BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Except as contained in this notice, the name of the X Consortium shall not be used in advertising or otherwise to promote the sale, use or other dealings in this Software without prior written authorization from the X Consortium.

Name		Name	Last commit message	Last commit date
Latest commit History 331 Commits
TD8_API_Flask_one_file_structure		TD8_API_Flask_one_file_structure
TD8_django_tutorial		TD8_django_tutorial
bonus_deploy_a_model_ressources		bonus_deploy_a_model_ressources
bonus_ressources_gradient_boosting		bonus_ressources_gradient_boosting
data		data
data_accidents		data_accidents
img_README		img_README
td3_discover_pandas		td3_discover_pandas
td4_ressources		td4_ressources
td5_ressources		td5_ressources
td6_ressources		td6_ressources
td7_ressources		td7_ressources
BONUS_Deploy_A_ML_Model.ipynb		BONUS_Deploy_A_ML_Model.ipynb
BONUS_Gradient_Boosting.ipynb		BONUS_Gradient_Boosting.ipynb
Correction_exercices_python.ipynb		Correction_exercices_python.ipynb
ENV.py		ENV.py
Introduction to Pandas.ipynb		Introduction to Pandas.ipynb
Mon_Premier_Notebook.ipynb		Mon_Premier_Notebook.ipynb
READMe.md		READMe.md
TD1_add_on_Execution_Model.ipynb		TD1_add_on_Execution_Model.ipynb
TD2_Instagram_scrapping_with_selenium.ipynb		TD2_Instagram_scrapping_with_selenium.ipynb
TD2_Manipuler_Pandas.ipynb		TD2_Manipuler_Pandas.ipynb
TD2_webscrapping.ipynb		TD2_webscrapping.ipynb
TD3_Pandas_Exercices_Without_Solutions.ipynb		TD3_Pandas_Exercices_Without_Solutions.ipynb
TD3_PlayingWithPandas.ipynb		TD3_PlayingWithPandas.ipynb
TD4_Advanced_Regressions.ipynb		TD4_Advanced_Regressions.ipynb
TD4_Sklearn.ipynb		TD4_Sklearn.ipynb
TD4_Sklearn_suite.ipynb		TD4_Sklearn_suite.ipynb
TD5_A_Simple_NN_for_a_Simple_LR.ipynb		TD5_A_Simple_NN_for_a_Simple_LR.ipynb
TD6_CNN.ipynb		TD6_CNN.ipynb
TD7_Image_Captioning_CNN_RNN.ipynb		TD7_Image_Captioning_CNN_RNN.ipynb
TD7_Text_Generation_With_LSTM.ipynb		TD7_Text_Generation_With_LSTM.ipynb
chromedriver		chromedriver
github_command.py		github_command.py
insta_credentials.py		insta_credentials.py
stream_file.py		stream_file.py
webscrapping_test2find_element.ipynb		webscrapping_test2find_element.ipynb

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