GitHub - Geo-Rser/blog: Contain all the stuff in my blog

This repo will contains Qingkai's blog entries. You can find Qingkai's blog here.

Name		Name	Last commit message	Last commit date
01_An_example_of_Bayesian_Analysis_with_python		01_An_example_of_Bayesian_Analysis_with_python
02_Different_priors		02_Different_priors
03_Subspace_detector		03_Subspace_detector
04_Empirical_Subspace_detector		04_Empirical_Subspace_detector
05_top_10_algorithms_in_20c		05_top_10_algorithms_in_20c
06_setup_hadoop_using_sandbox		06_setup_hadoop_using_sandbox
07_MCMC_Regression		07_MCMC_Regression
08_profile_python		08_profile_python
09_query_USGS_and_plot		09_query_USGS_and_plot
10_plot_heatmap_on_Basemap		10_plot_heatmap_on_Basemap
11_shift_signal_in_frequency_domain		11_shift_signal_in_frequency_domain
12_mining_Gmail		12_mining_Gmail
13_profile_f2py		13_profile_f2py
14_plot_histogram_on_clock		14_plot_histogram_on_clock
15_plot_historical_moment_tensors		15_plot_historical_moment_tensors
16_tqdm_progress_bar		16_tqdm_progress_bar
17_folium_map_1_different_map_tiles		17_folium_map_1_different_map_tiles
18_folium_map_2_custom_icon		18_folium_map_2_custom_icon
19_folium_map_3_heatmap		19_folium_map_3_heatmap
2017_01_detect_periodic_signal		2017_01_detect_periodic_signal
2017_02_intuitive_autocorrelation		2017_02_intuitive_autocorrelation
2017_03_paintings_from_my_wife		2017_03_paintings_from_my_wife
2017_04_Entrepreneurship_bootcamp		2017_04_Entrepreneurship_bootcamp
2017_05_More_on_applying_ANN		2017_05_More_on_applying_ANN
2017_06_Mermaid_transformation		2017_06_Mermaid_transformation
2017_07_Pager_duty		2017_07_Pager_duty
2017_08_Cubism_paintings		2017_08_Cubism_paintings
2017_09_enable_GPU_on_macbook_pro_for_deeplearning		2017_09_enable_GPU_on_macbook_pro_for_deeplearning
2017_11_Tar_sands		2017_11_Tar_sands
2017_12_machine_learning_funny_pictures		2017_12_machine_learning_funny_pictures
2017_13_visualize_high_dimensional_dataset		2017_13_visualize_high_dimensional_dataset
2017_14_nice_python_features		2017_14_nice_python_features
2017_15_using_virtualenv		2017_15_using_virtualenv
2017_16_new_baby		2017_16_new_baby
2017_17_scikit-learn-1		2017_17_scikit-learn-1
2017_18_scikit-learn-2		2017_18_scikit-learn-2
2017_19_scikit-learn-3		2017_19_scikit-learn-3
2017_20_scikit-learn-4		2017_20_scikit-learn-4
2017_21_scikit-learn-5		2017_21_scikit-learn-5
2017_22_searching_in_gmail		2017_22_searching_in_gmail
2017_23_EEW		2017_23_EEW
2017_25_FFT_with_different_noise_level		2017_25_FFT_with_different_noise_level
2017_26_Harvard_MIT_BU_visit		2017_26_Harvard_MIT_BU_visit
2017_27_mask_dots_in_water		2017_27_mask_dots_in_water
2017_28_T-shirt-competition		2017_28_T-shirt-competition
2017_29_grab_data_from_website		2017_29_grab_data_from_website
2017_31_discrete_colormap_matplotlib		2017_31_discrete_colormap_matplotlib
2017_32_kdtree		2017_32_kdtree
2017_33_kdtree_2_real_distance		2017_33_kdtree_2_real_distance
2018_01_QGIS_projection_systems		2018_01_QGIS_projection_systems
2018_02_QGIS_style		2018_02_QGIS_style
2018_03_arcgis_online		2018_03_arcgis_online
2018_04_SHM_smartphone		2018_04_SHM_smartphone
2018_05_nice_sayings		2018_05_nice_sayings
2018_06_Santa_Fe		2018_06_Santa_Fe
2018_07_Eugene		2018_07_Eugene
2018_18_Curve_fitting		2018_18_Curve_fitting
2018_19_pandas_groupby		2018_19_pandas_groupby
2018_20_jenkspy		2018_20_jenkspy
2018_21_interactive_plot_with_plotly		2018_21_interactive_plot_with_plotly
2018_22_debugging_in_notebook		2018_22_debugging_in_notebook
2018_23_Maker_Faire		2018_23_Maker_Faire
2018_24_new_office		2018_24_new_office
2018_25_kernel_density_estimation		2018_25_kernel_density_estimation
2018_26_classes_in_python		2018_26_classes_in_python
2018_27_Turle_graphics		2018_27_Turle_graphics
2018_28_ICA		2018_28_ICA
2018_29_profiler_in_jupyter		2018_29_profiler_in_jupyter
2018_30_gas_gain		2018_30_gas_gain
2018_31_finding_peaks		2018_31_finding_peaks
2018_32_create_kml_for_MT		2018_32_create_kml_for_MT
2018_33_the_date_we_use/data		2018_33_the_date_we_use/data
2018_34_google_map_cluster		2018_34_google_map_cluster
2018_36_my_first_NSF_proposal		2018_36_my_first_NSF_proposal
2018_37_Julia_1pt0		2018_37_Julia_1pt0
2018_38_Pandas_dataframe_slicing_milliseconds		2018_38_Pandas_dataframe_slicing_milliseconds
2018_39_spell_check_in_Jupyter_notebook		2018_39_spell_check_in_Jupyter_notebook
20_python_basemap_background		20_python_basemap_background
21_folium_map_4_draw_lines		21_folium_map_4_draw_lines
22_joblib		22_joblib
23_folium_map_5_overlay_image		23_folium_map_5_overlay_image
24_folium_map_6_layer_control		24_folium_map_6_layer_control
25_Pelican_create_personal_website_part1		25_Pelican_create_personal_website_part1
26_Pelican_create_personal_website_part2		26_Pelican_create_personal_website_part2
27_git_contribute_open_source_project		27_git_contribute_open_source_project
28_DBSCAN		28_DBSCAN
29_Processing_InSAR_Sentinel		29_Processing_InSAR_Sentinel
30_PyData		30_PyData
31_data_science_20_questions		31_data_science_20_questions
32_datashader		32_datashader
33_ML_explained_1_What_is_machine_learning		33_ML_explained_1_What_is_machine_learning
34_ML_explained_2_Types_of_ML		34_ML_explained_2_Types_of_ML
35_why_do_we_need_taper		35_why_do_we_need_taper
36_cross-correlation_time_and_frequency_domain		36_cross-correlation_time_and_frequency_domain
37_Caltech_test		37_Caltech_test
38_ANN_part1		38_ANN_part1
39_ANN_part2_step_by_step		39_ANN_part2_step_by_step
40_ANN_part3_step_by_step_MLP		40_ANN_part3_step_by_step_MLP
41_ANN_part4_handwriting_classification		41_ANN_part4_handwriting_classification
42_parallel_method_in_class		42_parallel_method_in_class

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